Search (345 results, page 1 of 18)

0.28110236 = product of:
  0.4919291 = sum of:
    0.031853456 = product of:
      0.095560364 = sum of:
        0.095560364 = weight(_text_:3a in 701) [ClassicSimilarity], result of:
          0.095560364 = score(doc=701,freq=2.0), product of:
            0.25504616 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.030083254 = queryNorm
            0.3746787 = fieldWeight in 701, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.03125 = fieldNorm(doc=701)
      0.33333334 = coord(1/3)
    0.020025108 = weight(_text_:web in 701) [ClassicSimilarity], result of:
      0.020025108 = score(doc=701,freq=4.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.2039694 = fieldWeight in 701, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=701)
    0.095560364 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.095560364 = score(doc=701,freq=2.0), product of:
        0.25504616 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.030083254 = queryNorm
        0.3746787 = fieldWeight in 701, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03125 = fieldNorm(doc=701)
    0.095560364 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.095560364 = score(doc=701,freq=2.0), product of:
        0.25504616 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.030083254 = queryNorm
        0.3746787 = fieldWeight in 701, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03125 = fieldNorm(doc=701)
    0.012291413 = weight(_text_:information in 701) [ClassicSimilarity], result of:
      0.012291413 = score(doc=701,freq=18.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.23274568 = fieldWeight in 701, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=701)
    0.045517687 = weight(_text_:retrieval in 701) [ClassicSimilarity], result of:
      0.045517687 = score(doc=701,freq=28.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.5001983 = fieldWeight in 701, product of:
          5.2915025 = tf(freq=28.0), with freq of:
            28.0 = termFreq=28.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=701)
    0.095560364 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.095560364 = score(doc=701,freq=2.0), product of:
        0.25504616 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.030083254 = queryNorm
        0.3746787 = fieldWeight in 701, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03125 = fieldNorm(doc=701)
    0.095560364 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.095560364 = score(doc=701,freq=2.0), product of:
        0.25504616 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.030083254 = queryNorm
        0.3746787 = fieldWeight in 701, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03125 = fieldNorm(doc=701)
  0.5714286 = coord(8/14)

Abstract

By the explosion of possibilities for a ubiquitous content production, the information overload problem reaches the level of complexity which cannot be managed by traditional modelling approaches anymore. Due to their pure syntactical nature traditional information retrieval approaches did not succeed in treating content itself (i.e. its meaning, and not its representation). This leads to a very low usefulness of the results of a retrieval process for a user's task at hand. In the last ten years ontologies have been emerged from an interesting conceptualisation paradigm to a very promising (semantic) modelling technology, especially in the context of the Semantic Web. From the information retrieval point of view, ontologies enable a machine-understandable form of content description, such that the retrieval process can be driven by the meaning of the content. However, the very ambiguous nature of the retrieval process in which a user, due to the unfamiliarity with the underlying repository and/or query syntax, just approximates his information need in a query, implies a necessity to include the user in the retrieval process more actively in order to close the gap between the meaning of the content and the meaning of a user's query (i.e. his information need). This thesis lays foundation for such an ontology-based interactive retrieval process, in which the retrieval system interacts with a user in order to conceptually interpret the meaning of his query, whereas the underlying domain ontology drives the conceptualisation process. In that way the retrieval process evolves from a query evaluation process into a highly interactive cooperation between a user and the retrieval system, in which the system tries to anticipate the user's information need and to deliver the relevant content proactively. Moreover, the notion of content relevance for a user's query evolves from a content dependent artefact to the multidimensional context-dependent structure, strongly influenced by the user's preferences. This cooperation process is realized as the so-called Librarian Agent Query Refinement Process. In order to clarify the impact of an ontology on the retrieval process (regarding its complexity and quality), a set of methods and tools for different levels of content and query formalisation is developed, ranging from pure ontology-based inferencing to keyword-based querying in which semantics automatically emerges from the results. Our evaluation studies have shown that the possibilities to conceptualize a user's information need in the right manner and to interpret the retrieval results accordingly are key issues for realizing much more meaningful information retrieval systems.

Content

Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.

Theme

Semantic Web

0.11424538 = product of:
  0.31988704 = sum of:
    0.060697883 = weight(_text_:web in 1026) [ClassicSimilarity], result of:
      0.060697883 = score(doc=1026,freq=12.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.6182494 = fieldWeight in 1026, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1026)
    0.0071699913 = weight(_text_:information in 1026) [ClassicSimilarity], result of:
      0.0071699913 = score(doc=1026,freq=2.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.13576832 = fieldWeight in 1026, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1026)
    0.021288948 = weight(_text_:retrieval in 1026) [ClassicSimilarity], result of:
      0.021288948 = score(doc=1026,freq=2.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.23394634 = fieldWeight in 1026, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1026)
    0.2212199 = weight(_text_:trondheim in 1026) [ClassicSimilarity], result of:
      0.2212199 = score(doc=1026,freq=2.0), product of:
        0.29334113 = queryWeight, product of:
          9.7509775 = idf(docFreq=6, maxDocs=44218)
          0.030083254 = queryNorm
        0.7541387 = fieldWeight in 1026, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          9.7509775 = idf(docFreq=6, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1026)
    0.009510353 = product of:
      0.028531058 = sum of:
        0.028531058 = weight(_text_:22 in 1026) [ClassicSimilarity], result of:
          0.028531058 = score(doc=1026,freq=2.0), product of:
            0.10534643 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030083254 = queryNorm
            0.2708308 = fieldWeight in 1026, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1026)
      0.33333334 = coord(1/3)
  0.35714287 = coord(5/14)

Abstract

We have created software applications that allow users to both author and use Semantic Web metadata. To create and use a layer of semantic content on top of the existing Web, we have (1) implemented a user interface that expedites the task of attributing metadata to resources on the Web, and (2) augmented a Web browser to leverage this semantic metadata to provide relevant information and tasks to the user. This project provides a framework for annotating and reorganizing existing files, pages, and sites on the Web that is similar to Vannevar Bushrsquos original concepts of trail blazing and associative indexing.

Source

Research and advanced technology for digital libraries : 7th European Conference, proceedings / ECDL 2003, Trondheim, Norway, August 17-22, 2003

Theme

Semantisches Umfeld in Indexierung u. Retrieval
Semantic Web

0.04393459 = product of:
  0.15377106 = sum of:
    0.03915049 = weight(_text_:wide in 4332) [ClassicSimilarity], result of:
      0.03915049 = score(doc=4332,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.29372054 = fieldWeight in 4332, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046875 = fieldNorm(doc=4332)
    0.06007532 = weight(_text_:web in 4332) [ClassicSimilarity], result of:
      0.06007532 = score(doc=4332,freq=16.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.6119082 = fieldWeight in 4332, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=4332)
    0.013742219 = weight(_text_:information in 4332) [ClassicSimilarity], result of:
      0.013742219 = score(doc=4332,freq=10.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.2602176 = fieldWeight in 4332, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4332)
    0.040803034 = weight(_text_:retrieval in 4332) [ClassicSimilarity], result of:
      0.040803034 = score(doc=4332,freq=10.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.44838852 = fieldWeight in 4332, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.046875 = fieldNorm(doc=4332)
  0.2857143 = coord(4/14)

Abstract

Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.

Footnote

Zugl.: Dortmund, Univ., Dipl.-Arb., 2006 u.d.T.: Hüsken, Peter: Information-Retrieval im Semantic-Web.

RSWK

Information Retrieval / Semantic Web

Subject

Information Retrieval / Semantic Web

Theme

Semantic Web

0.042724762 = product of:
  0.14953665 = sum of:
    0.060423106 = weight(_text_:wide in 1981) [ClassicSimilarity], result of:
      0.060423106 = score(doc=1981,freq=14.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.45331508 = fieldWeight in 1981, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1981)
    0.06898406 = weight(_text_:web in 1981) [ClassicSimilarity], result of:
      0.06898406 = score(doc=1981,freq=62.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.70264983 = fieldWeight in 1981, product of:
          7.8740077 = tf(freq=62.0), with freq of:
            62.0 = termFreq=62.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1981)
    0.009485006 = weight(_text_:information in 1981) [ClassicSimilarity], result of:
      0.009485006 = score(doc=1981,freq=14.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.1796046 = fieldWeight in 1981, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1981)
    0.010644474 = weight(_text_:retrieval in 1981) [ClassicSimilarity], result of:
      0.010644474 = score(doc=1981,freq=2.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.11697317 = fieldWeight in 1981, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1981)
  0.2857143 = coord(4/14)

Abstract

As the World Wide Web continues to expand, it becomes increasingly difficult for users to obtain information efficiently. Because most search engines read format languages such as HTML or SGML, search results reflect formatting tags more than actual page content, which is expressed in natural language. Spinning the Semantic Web describes an exciting new type of hierarchy and standardization that will replace the current "Web of links" with a "Web of meaning." Using a flexible set of languages and tools, the Semantic Web will make all available information - display elements, metadata, services, images, and especially content - accessible. The result will be an immense repository of information accessible for a wide range of new applications. This first handbook for the Semantic Web covers, among other topics, software agents that can negotiate and collect information, markup languages that can tag many more types of information in a document, and knowledge systems that enable machines to read Web pages and determine their reliability. The truly interdisciplinary Semantic Web combines aspects of artificial intelligence, markup languages, natural language processing, information retrieval, knowledge representation, intelligent agents, and databases.

Content

Inhalt: Tim Bemers-Lee: The Original Dream - Re-enter Machines - Where Are We Now? - The World Wide Web Consortium - Where Is the Web Going Next? / Dieter Fensel, James Hendler, Henry Lieberman, and Wolfgang Wahlster: Why Is There a Need for the Semantic Web and What Will It Provide? - How the Semantic Web Will Be Possible / Jeff Heflin, James Hendler, and Sean Luke: SHOE: A Blueprint for the Semantic Web / Deborah L. McGuinness, Richard Fikes, Lynn Andrea Stein, and James Hendler: DAML-ONT: An Ontology Language for the Semantic Web / Michel Klein, Jeen Broekstra, Dieter Fensel, Frank van Harmelen, and Ian Horrocks: Ontologies and Schema Languages on the Web / Borys Omelayenko, Monica Crubezy, Dieter Fensel, Richard Benjamins, Bob Wielinga, Enrico Motta, Mark Musen, and Ying Ding: UPML: The Language and Tool Support for Making the Semantic Web Alive / Deborah L. McGuinness: Ontologies Come of Age / Jeen Broekstra, Arjohn Kampman, and Frank van Harmelen: Sesame: An Architecture for Storing and Querying RDF Data and Schema Information / Rob Jasper and Mike Uschold: Enabling Task-Centered Knowledge Support through Semantic Markup / Yolanda Gil: Knowledge Mobility: Semantics for the Web as a White Knight for Knowledge-Based Systems / Sanjeev Thacker, Amit Sheth, and Shuchi Patel: Complex Relationships for the Semantic Web / Alexander Maedche, Steffen Staab, Nenad Stojanovic, Rudi Studer, and York Sure: SEmantic portAL: The SEAL Approach / Ora Lassila and Mark Adler: Semantic Gadgets: Ubiquitous Computing Meets the Semantic Web / Christopher Frye, Mike Plusch, and Henry Lieberman: Static and Dynamic Semantics of the Web / Masahiro Hori: Semantic Annotation for Web Content Adaptation / Austin Tate, Jeff Dalton, John Levine, and Alex Nixon: Task-Achieving Agents on the World Wide Web

LCSH

Semantic Web
World Wide Web

RSWK

Semantic Web

Subject

Semantic Web
Semantic Web
World Wide Web

Theme

Semantic Web

0.036557622 = product of:
  0.12795167 = sum of:
    0.060697883 = weight(_text_:web in 4330) [ClassicSimilarity], result of:
      0.060697883 = score(doc=4330,freq=12.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.6182494 = fieldWeight in 4330, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4330)
    0.010139898 = weight(_text_:information in 4330) [ClassicSimilarity], result of:
      0.010139898 = score(doc=4330,freq=4.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.1920054 = fieldWeight in 4330, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4330)
    0.047603536 = weight(_text_:retrieval in 4330) [ClassicSimilarity], result of:
      0.047603536 = score(doc=4330,freq=10.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.5231199 = fieldWeight in 4330, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4330)
    0.009510353 = product of:
      0.028531058 = sum of:
        0.028531058 = weight(_text_:22 in 4330) [ClassicSimilarity], result of:
          0.028531058 = score(doc=4330,freq=2.0), product of:
            0.10534643 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030083254 = queryNorm
            0.2708308 = fieldWeight in 4330, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4330)
      0.33333334 = coord(1/3)
  0.2857143 = coord(4/14)

Abstract

One vision of the Semantic Web is that it will be much like the Web we know today, except that documents will be enriched by annotations in machine understandable markup. These annotations will provide metadata about the documents as well as machine interpretable statements capturing some of the meaning of document content. We discuss how the information retrieval paradigm might be recast in such an environment. We suggest that retrieval can be tightly bound to inference. Doing so makes today's Web search engines useful to Semantic Web inference engines, and causes improvements in either retrieval or inference to lead directly to improvements in the other.

Date

12. 2.2011 17:35:22

Theme

Semantic Web

0.03621632 = product of:
  0.16900949 = sum of:
    0.045675576 = weight(_text_:wide in 2450) [ClassicSimilarity], result of:
      0.045675576 = score(doc=2450,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.342674 = fieldWeight in 2450, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2450)
    0.05540933 = weight(_text_:web in 2450) [ClassicSimilarity], result of:
      0.05540933 = score(doc=2450,freq=10.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.5643819 = fieldWeight in 2450, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2450)
    0.06792459 = weight(_text_:bibliothek in 2450) [ClassicSimilarity], result of:
      0.06792459 = score(doc=2450,freq=6.0), product of:
        0.12350771 = queryWeight, product of:
          4.1055303 = idf(docFreq=1980, maxDocs=44218)
          0.030083254 = queryNorm
        0.54996234 = fieldWeight in 2450, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.1055303 = idf(docFreq=1980, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2450)
  0.21428572 = coord(3/14)

Abstract

Das Semantic Web ist die Vision einer Erweiterung des World Wide Webs, so dass die Daten nicht nur für Menschen leicht verständlich dargestellt werden, sondern auch von Maschinen verwertbar sind. Mit einer entsprechenden Ausgestaltung von Links zwischen einzelnen Webressourcen wäre das Web als riesige, globale Datenbank nutzbar. Darin könnten dann Softwareagenten für uns auch komplexe Fragestellungen und Planungen bearbeiten. In dieser Arbeit soll gezeigt werden, dass jede Bibliothek interessante Daten für das Semantic Web hat und umgekehrt von ihm profitieren kann. Ein Schwerpunkt liegt auf möglichen Anwendungsszenarien mit dem speziellen Fokus beim Bibliothekswesen.

Content

Vgl.: http://journals.ub.uni-heidelberg.de/index.php/bibliothek/article/view/9398.

Source

Perspektive Bibliothek. 1(2012) H.1, S.81-102

Theme

Semantic Web

0.036156803 = product of:
  0.12654881 = sum of:
    0.03262541 = weight(_text_:wide in 6061) [ClassicSimilarity], result of:
      0.03262541 = score(doc=6061,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.24476713 = fieldWeight in 6061, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=6061)
    0.05309958 = weight(_text_:web in 6061) [ClassicSimilarity], result of:
      0.05309958 = score(doc=6061,freq=18.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.5408555 = fieldWeight in 6061, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=6061)
    0.014485569 = weight(_text_:information in 6061) [ClassicSimilarity], result of:
      0.014485569 = score(doc=6061,freq=16.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.27429342 = fieldWeight in 6061, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=6061)
    0.026338244 = weight(_text_:retrieval in 6061) [ClassicSimilarity], result of:
      0.026338244 = score(doc=6061,freq=6.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.28943354 = fieldWeight in 6061, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=6061)
  0.2857143 = coord(4/14)

Abstract

The middle of the 1990s are coined by the increased enthusiasm for the possibilities of the WWW, which has only recently deviated - at least in relation to scientific information - for the differentiated measuring of its advantages and disadvantages. Web Information Retrieval originated as a specialized discipline with great commercial significance (for an overview see Lewandowski 2005). Besides the new technological structure that enables the indexing and searching (in seconds) of unimaginable amounts of data worldwide, new assessment processes for the ranking of search results are being developed, which use the link structures of the Web. They are the main innovation with respect to the traditional "mother discipline" of Information Retrieval. From the beginning, link structures of Web pages are applied to commercial search engines in a wide array of variations. From the perspective of scientific information, link topology based approaches were in essence trying to solve a self-created problem: on the one hand, it quickly became clear that the openness of the Web led to an up-tonow unknown increase in available information, but this also caused the quality of the Web pages searched to become a problem - and with it the relevance of the results. The gatekeeper function of traditional information providers, which narrows down every user query to focus on high-quality sources was lacking. Therefore, the recognition of the "authoritativeness" of the Web pages by general search engines such as Google was one of the most important factors for their success.

Source

Information und Sprache: Beiträge zu Informationswissenschaft, Computerlinguistik, Bibliothekswesen und verwandten Fächern. Festschrift für Harald H. Zimmermann. Herausgegeben von Ilse Harms, Heinz-Dirk Luckhardt und Hans W. Giessen

Theme

Semantic Web

0.03477282 = product of:
  0.12170487 = sum of:
    0.03262541 = weight(_text_:wide in 5300) [ClassicSimilarity], result of:
      0.03262541 = score(doc=5300,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.24476713 = fieldWeight in 5300, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5300)
    0.058703803 = weight(_text_:web in 5300) [ClassicSimilarity], result of:
      0.058703803 = score(doc=5300,freq=22.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.59793836 = fieldWeight in 5300, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5300)
    0.008870564 = weight(_text_:information in 5300) [ClassicSimilarity], result of:
      0.008870564 = score(doc=5300,freq=6.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.16796975 = fieldWeight in 5300, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5300)
    0.021505086 = weight(_text_:retrieval in 5300) [ClassicSimilarity], result of:
      0.021505086 = score(doc=5300,freq=4.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.23632148 = fieldWeight in 5300, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5300)
  0.2857143 = coord(4/14)

Abstract

The web has been, in the last decades, the place where information retrieval achieved its maximum importance, given its ubiquity and the sheer volume of information. However, its exponential growth made the retrieval task increasingly hard, relying in its effectiveness on idiosyncratic and somewhat biased ranking algorithms. To deal with this problem, a "new" web, called the Semantic Web (SW), was proposed, bringing along concepts like "Web of Data" and "Linked Data," although the definitions and connections among these concepts are often unclear. Based on a qualitative approach built over a literature review, a definition of SW is presented, discussing the related concepts sometimes used as synonyms. It concludes that the SW is a comprehensive and ambitious construct that includes the great purpose of making the web a global database. It also follows the specifications developed and/or associated with its operationalization and the necessary procedures for the connection of data in an open format on the web. The goals of this comprehensive SW are the union of two outcomes still tenuously connected: the virtually unlimited possibility of connections between data-the web domain-with the potentiality of the automated inference of "intelligent" systems-the semantic component.

Source

Journal of the Association for Information Science and Technology. 70(2019) no.7, S.701-714

Theme

Semantic Web

0.0346119 = product of:
  0.12114164 = sum of:
    0.03915049 = weight(_text_:wide in 4333) [ClassicSimilarity], result of:
      0.03915049 = score(doc=4333,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.29372054 = fieldWeight in 4333, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046875 = fieldNorm(doc=4333)
    0.047493715 = weight(_text_:web in 4333) [ClassicSimilarity], result of:
      0.047493715 = score(doc=4333,freq=10.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.48375595 = fieldWeight in 4333, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=4333)
    0.008691342 = weight(_text_:information in 4333) [ClassicSimilarity], result of:
      0.008691342 = score(doc=4333,freq=4.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.16457605 = fieldWeight in 4333, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4333)
    0.025806103 = weight(_text_:retrieval in 4333) [ClassicSimilarity], result of:
      0.025806103 = score(doc=4333,freq=4.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.2835858 = fieldWeight in 4333, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.046875 = fieldNorm(doc=4333)
  0.2857143 = coord(4/14)

Abstract

Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.

Theme

Semantic Web

0.033106588 = product of:
  0.115873046 = sum of:
    0.032297507 = weight(_text_:wide in 4515) [ClassicSimilarity], result of:
      0.032297507 = score(doc=4515,freq=4.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.2423071 = fieldWeight in 4515, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.02734375 = fieldNorm(doc=4515)
    0.06672167 = weight(_text_:web in 4515) [ClassicSimilarity], result of:
      0.06672167 = score(doc=4515,freq=58.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.67960584 = fieldWeight in 4515, product of:
          7.615773 = tf(freq=58.0), with freq of:
            58.0 = termFreq=58.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.02734375 = fieldNorm(doc=4515)
    0.0062093944 = weight(_text_:information in 4515) [ClassicSimilarity], result of:
      0.0062093944 = score(doc=4515,freq=6.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.11757882 = fieldWeight in 4515, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.02734375 = fieldNorm(doc=4515)
    0.010644474 = weight(_text_:retrieval in 4515) [ClassicSimilarity], result of:
      0.010644474 = score(doc=4515,freq=2.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.11697317 = fieldWeight in 4515, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.02734375 = fieldNorm(doc=4515)
  0.2857143 = coord(4/14)

Abstract

The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. This book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies. This title combines aspects of knowledge representation for both the Semantic Web (ontologies) and the Web 2.0 (folksonomies). Currently there is no monographic book which provides a combined overview over these topics. focus on the topic of using knowledge representation methods for document indexing purposes. For this purpose, considerations from classical librarian interests in knowledge representation (thesauri, classification schemes etc.) are included, which are not part of most other books which have a stronger background in computer science.

Footnote

Rez. in: iwp 62(2011) H.4, S.205-206 (C. Carstens): "Welche Arten der Wissensrepräsentation existieren im Web, wie ausgeprägt sind semantische Strukturen in diesem Kontext, und wie können soziale Aktivitäten im Sinne des Web 2.0 zur Strukturierung von Wissen im Web beitragen? Diesen Fragen widmet sich Wellers Buch mit dem Titel Knowledge Representation in the Social Semantic Web. Der Begriff Social Semantic Web spielt einerseits auf die semantische Strukturierung von Daten im Sinne des Semantic Web an und deutet andererseits auf die zunehmend kollaborative Inhaltserstellung im Social Web hin. Weller greift die Entwicklungen in diesen beiden Bereichen auf und beleuchtet die Möglichkeiten und Herausforderungen, die aus der Kombination der Aktivitäten im Semantic Web und im Social Web entstehen. Der Fokus des Buches liegt dabei primär auf den konzeptuellen Herausforderungen, die sich in diesem Kontext ergeben. So strebt die originäre Vision des Semantic Web die Annotation aller Webinhalte mit ausdrucksstarken, hochformalisierten Ontologien an. Im Social Web hingegen werden große Mengen an Daten von Nutzern erstellt, die häufig mithilfe von unkontrollierten Tags in Folksonomies annotiert werden. Weller sieht in derartigen kollaborativ erstellten Inhalten und Annotationen großes Potenzial für die semantische Indexierung, eine wichtige Voraussetzung für das Retrieval im Web. Das Hauptinteresse des Buches besteht daher darin, eine Brücke zwischen den Wissensrepräsentations-Methoden im Social Web und im Semantic Web zu schlagen. Um dieser Fragestellung nachzugehen, gliedert sich das Buch in drei Teile. . . .
Insgesamt besticht das Buch insbesondere durch seine breite Sichtweise, die Aktualität und die Fülle an Referenzen. Es ist somit sowohl als Überblickswerk geeignet, das umfassend über aktuelle Entwicklungen und Trends der Wissensrepräsentation im Semantic und Social Web informiert, als auch als Lektüre für Experten, für die es vor allem als kontextualisierte und sehr aktuelle Sammlung von Referenzen eine wertvolle Ressource darstellt." Weitere Rez. in: Journal of Documentation. 67(2011), no.5, S.896-899 (P. Rafferty)

LCSH

Semantic Web
Knowledge representation (Information theory)

Object

Web 2.0

RSWK

Semantic Web
World Wide Web 2.0

Series

Knowledge and information; vol.3

Subject

Semantic Web
World Wide Web 2.0
Semantic Web
Knowledge representation (Information theory)

Theme

Semantic Web

0.03179916 = product of:
  0.111297056 = sum of:
    0.026100328 = weight(_text_:wide in 4404) [ClassicSimilarity], result of:
      0.026100328 = score(doc=4404,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.1958137 = fieldWeight in 4404, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.03125 = fieldNorm(doc=4404)
    0.06007532 = weight(_text_:web in 4404) [ClassicSimilarity], result of:
      0.06007532 = score(doc=4404,freq=36.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.6119082 = fieldWeight in 4404, product of:
          6.0 = tf(freq=36.0), with freq of:
            36.0 = termFreq=36.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=4404)
    0.012956288 = weight(_text_:information in 4404) [ClassicSimilarity], result of:
      0.012956288 = score(doc=4404,freq=20.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.2453355 = fieldWeight in 4404, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=4404)
    0.012165113 = weight(_text_:retrieval in 4404) [ClassicSimilarity], result of:
      0.012165113 = score(doc=4404,freq=2.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.13368362 = fieldWeight in 4404, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=4404)
  0.2857143 = coord(4/14)

Abstract

Significant progress has been made in technologies for publishing and distributing knowledge and information on the web. However, much of the published information is not organized, and it is hard to find answers to questions that require more than a keyword search. In general, one can say that the web is organizing itself. Information is often published in relatively ad hoc fashion. Typically, concern about the presentation of content has been limited to purely layout issues. This, combined with the fact that the representation language used on the World Wide Web (HTML) is mainly format-oriented, makes publishing on the WWW easy, giving it an enormous expressiveness. People add private, educational or organizational content to the web that is of an immensely diverse nature. Content on the web is growing closer to a real universal knowledge base, with one problem relatively undefined; the problem of the interpretation of its contents. Although widely acknowledged for its general and universal advantages, the increasing popularity of the web also shows us some major drawbacks. The developments of the information content on the web during the last year alone, clearly indicates the need for some changes. Perhaps one of the most significant problems with the web as a distributed information system is the difficulty of finding and comparing information.
Thus, there is a clear need for the web to become more semantic. The aim of introducing semantics into the web is to enhance the precision of search, but also enable the use of logical reasoning on web contents in order to answer queries. The CORPORUM OntoBuilder toolset is developed specifically for this task. It consists of a set of applications that can fulfil a variety of tasks, either as stand-alone tools, or augmenting each other. Important tasks that are dealt with by CORPORUM are related to document and information retrieval (find relevant documents, or support the user finding them), as well as information extraction (building a knowledge base from web documents to answer queries), information dissemination (summarizing strategies and information visualization), and automated document classification strategies. First versions of the toolset are encouraging in that they show large potential as a supportive technology for building up the Semantic Web. In this chapter, methods for transforming the current web into a semantic web are discussed, as well as a technical solution that can perform this task: the CORPORUM tool set. First, the toolset is introduced; followed by some pragmatic issues relating to the approach; then there will be a short overview of the theory in relation to CognIT's vision; and finally, a discussion on some of the applications that arose from the project.

Source

Towards the semantic Web: ontology-driven knowledge management. Eds.: J. Davies, u.a

Theme

Semantic Web

0.029325508 = product of:
  0.10263927 = sum of:
    0.03262541 = weight(_text_:wide in 246) [ClassicSimilarity], result of:
      0.03262541 = score(doc=246,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.24476713 = fieldWeight in 246, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=246)
    0.04335563 = weight(_text_:web in 246) [ClassicSimilarity], result of:
      0.04335563 = score(doc=246,freq=12.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.4416067 = fieldWeight in 246, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=246)
    0.011451848 = weight(_text_:information in 246) [ClassicSimilarity], result of:
      0.011451848 = score(doc=246,freq=10.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.21684799 = fieldWeight in 246, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=246)
    0.015206392 = weight(_text_:retrieval in 246) [ClassicSimilarity], result of:
      0.015206392 = score(doc=246,freq=2.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.16710453 = fieldWeight in 246, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=246)
  0.2857143 = coord(4/14)

Abstract

Semantic Web tools provide new and significant opportunities for organizing and improving the utility of biomedical information. As librarians become more involved with biomedical information, it is important for them, particularly catalogers, to be part of research teams that are employing these techniques and developing a high level interoperable biomedical infrastructure. To illustrate these principles, we used Semantic Web tools to create a knowledge model for human visual phenotypes (observable characteristics). This is an important foundation for generating associations between genomics and clinical medicine. In turn this can allow customized medical therapies and provide insights into the molecular basis of disease. The knowledge model incorporates a wide variety of clinical and genomic data including examination findings, demographics, laboratory tests, imaging and variations in DNA sequence. Information organization, storage and retrieval are facilitated through the use of metadata and the ability to make computable statements in the visual science domain. This paper presents our work, discusses the value of Semantic Web technologies in biomedicine, and identifies several important roles that library and information scientists can play in developing a more powerful biomedical information infrastructure.

Footnote

Simultaneously published as Knitting the Semantic Web

Theme

Semantic Web

0.028764635 = product of:
  0.13423496 = sum of:
    0.0461393 = weight(_text_:wide in 115) [ClassicSimilarity], result of:
      0.0461393 = score(doc=115,freq=4.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.34615302 = fieldWeight in 115, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=115)
    0.039578095 = weight(_text_:web in 115) [ClassicSimilarity], result of:
      0.039578095 = score(doc=115,freq=10.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.40312994 = fieldWeight in 115, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=115)
    0.048517562 = weight(_text_:bibliothek in 115) [ClassicSimilarity], result of:
      0.048517562 = score(doc=115,freq=6.0), product of:
        0.12350771 = queryWeight, product of:
          4.1055303 = idf(docFreq=1980, maxDocs=44218)
          0.030083254 = queryNorm
        0.39283025 = fieldWeight in 115, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.1055303 = idf(docFreq=1980, maxDocs=44218)
          0.0390625 = fieldNorm(doc=115)
  0.21428572 = coord(3/14)

Abstract

Bibliografische Daten, Normdaten und Metadaten im Semantic Web - Konzepte der Bibliografischen Kontrolle im Wandel. Der Titel dieser Arbeit zielt in ein essentielles Feld der Bibliotheks- und Informationswissenschaft, die Bibliografische Kontrolle. Als zweites zentrales Konzept wird der in der Weiterentwicklung des World Wide Webs (WWW) bedeutsame Begriff des Semantic Webs genannt. Auf den ersten Blick handelt es sich hier um einen ungleichen Wettstreit. Auf der einen Seite die Bibliografische Kontrolle, welche die Methoden und Mittel zur Erschließung von bibliothekarischen Objekten umfasst und traditionell in Form von formal-inhaltlichen Surrogaten in Katalogen daherkommt. Auf der anderen Seite das Buzzword Semantic Web mit seinen hochtrabenden Konnotationen eines durch Selbstreferenzialität "bedeutungstragenden", wenn nicht sogar "intelligenten" Webs. Wie kamen also eine wissenschaftliche Bibliothekarin und ein Mitglied des World Wide Web Consortiums 2007 dazu, gemeinsam einen Aufsatz zu publizieren und darin zu behaupten, das semantische Netz würde ein "bibliothekarischeres" Netz sein? Um sich dieser Frage zu nähern, soll zunächst kurz die historische Entwicklung der beiden Informationssphären Bibliothek und WWW gemeinsam betrachtet werden. Denn so oft - und völlig zurecht - die informationelle Revolution durch das Internet beschworen wird, so taucht auch immer wieder das Analogon einer weltweiten, virtuellen Bibliothek auf. Genauer gesagt, nahmen die theoretischen Überlegungen, die später zur Entwicklung des Internets führen sollten, ihren Ausgangspunkt (neben Kybernetik und entstehender Computertechnik) beim Konzept des Informationsspeichers Bibliothek.

Theme

Semantic Web

0.02836536 = product of:
  0.13237168 = sum of:
    0.0461393 = weight(_text_:wide in 4706) [ClassicSimilarity], result of:
      0.0461393 = score(doc=4706,freq=4.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.34615302 = fieldWeight in 4706, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4706)
    0.081110954 = weight(_text_:web in 4706) [ClassicSimilarity], result of:
      0.081110954 = score(doc=4706,freq=42.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.8261705 = fieldWeight in 4706, product of:
          6.4807405 = tf(freq=42.0), with freq of:
            42.0 = termFreq=42.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4706)
    0.005121422 = weight(_text_:information in 4706) [ClassicSimilarity], result of:
      0.005121422 = score(doc=4706,freq=2.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.09697737 = fieldWeight in 4706, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4706)
  0.21428572 = coord(3/14)

Abstract

The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578 submissions to the research track. Part II contains 18 papers out of 66 submissions to the semantic Web in-use track, 6 papers out of 26 submissions to the doctoral consortium track, and also 4 invited talks. Each submitted paper were carefully reviewed. The International Semantic Web Conferences (ISWC) constitute the major international venue where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft computing, and human computer interaction to discuss the major challenges and proposed solutions, the success stories and failures, as well the visions that can advance research and drive innovation in the Semantic Web.

RSWK

Semantic Web / Kongress / Schanghai <2010>
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>

Subject

Semantic Web / Kongress / Schanghai <2010>
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>

Theme

Semantic Web

0.028079187 = product of:
  0.09827715 = sum of:
    0.033905324 = weight(_text_:wide in 4401) [ClassicSimilarity], result of:
      0.033905324 = score(doc=4401,freq=6.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.2543695 = fieldWeight in 4401, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0234375 = fieldNorm(doc=4401)
    0.045056492 = weight(_text_:web in 4401) [ClassicSimilarity], result of:
      0.045056492 = score(doc=4401,freq=36.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.45893115 = fieldWeight in 4401, product of:
          6.0 = tf(freq=36.0), with freq of:
            36.0 = termFreq=36.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0234375 = fieldNorm(doc=4401)
    0.010191501 = weight(_text_:information in 4401) [ClassicSimilarity], result of:
      0.010191501 = score(doc=4401,freq=22.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.19298252 = fieldWeight in 4401, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0234375 = fieldNorm(doc=4401)
    0.009123836 = weight(_text_:retrieval in 4401) [ClassicSimilarity], result of:
      0.009123836 = score(doc=4401,freq=2.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.10026272 = fieldWeight in 4401, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0234375 = fieldNorm(doc=4401)
  0.2857143 = coord(4/14)

Abstract

With the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies to electronically available information to improve the quality of knowledge management in large and distributed organizations. Ontologies are formal theories supporting knowledge sharing and reuse. They can be used to explicitly represent semantics of semi-structured information. These enable sophisticated automatic support for acquiring, maintaining and accessing information. Methodology and tools are developed for intelligent access to large volumes of semi-structured and textual information sources in intra- and extra-, and internet-based environments to employ the full power of ontologies in supporting knowledge management from the information client perspective and the information provider. The aim of the book is to support efficient and effective knowledge management and focuses on weakly-structured online information sources. It is aimed primarily at researchers in the area of knowledge management and information retrieval and will also be a useful reference for students in computer science at the postgraduate level and for business managers who are aiming to increase the corporations' information infrastructure. The Semantic Web is a very important initiative affecting the future of the WWW that is currently generating huge interest. The book covers several highly significant contributions to the semantic web research effort, including a new language for defining ontologies, several novel software tools and a coherent methodology for the application of the tools for business advantage. It also provides 3 case studies which give examples of the real benefits to be derived from the adoption of semantic-web based ontologies in "real world" situations. As such, the book is an excellent mixture of theory, tools and applications in an important area of WWW research. * Provides guidelines for introducing knowledge management concepts and tools into enterprises, to help knowledge providers present their knowledge efficiently and effectively. * Introduces an intelligent search tool that supports users in accessing information and a tool environment for maintenance, conversion and acquisition of information sources. * Discusses three large case studies which will help to develop the technology according to the actual needs of large and or virtual organisations and will provide a testbed for evaluating tools and methods. The book is aimed at people with at least a good understanding of existing WWW technology and some level of technical understanding of the underpinning technologies (XML/RDF). It will be of interest to graduate students, academic and industrial researchers in the field, and the many industrial personnel who are tracking WWW technology developments in order to understand the business implications. It could also be used to support undergraduate courses in the area but is not itself an introductory text.

Content

Inhalt: OIL and DAML + OIL: Ontology Languages for the Semantic Web (pages 11-31) / Dieter Fensel, Frank van Harmelen and Ian Horrocks A Methodology for Ontology-Based Knowledge Management (pages 33-46) / York Sure and Rudi Studer Ontology Management: Storing, Aligning and Maintaining Ontologies (pages 47-69) / Michel Klein, Ying Ding, Dieter Fensel and Borys Omelayenko Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema (pages 71-89) / Jeen Broekstra, Arjohn Kampman and Frank van Harmelen Generating Ontologies for the Semantic Web: OntoBuilder (pages 91-115) / R. H. P. Engels and T. Ch. Lech OntoEdit: Collaborative Engineering of Ontologies (pages 117-132) / York Sure, Michael Erdmann and Rudi Studer QuizRDF: Search Technology for the Semantic Web (pages 133-144) / John Davies, Richard Weeks and Uwe Krohn Spectacle (pages 145-159) / Christiaan Fluit, Herko ter Horst, Jos van der Meer, Marta Sabou and Peter Mika OntoShare: Evolving Ontologies in a Knowledge Sharing System (pages 161-177) / John Davies, Alistair Duke and Audrius Stonkus Ontology Middleware and Reasoning (pages 179-196) / Atanas Kiryakov, Kiril Simov and Damyan Ognyanov Ontology-Based Knowledge Management at Work: The Swiss Life Case Studies (pages 197-218) / Ulrich Reimer, Peter Brockhausen, Thorsten Lau and Jacqueline R. Reich Field Experimenting with Semantic Web Tools in a Virtual Organization (pages 219-244) / Victor Iosif, Peter Mika, Rikard Larsson and Hans Akkermans A Future Perspective: Exploiting Peer-To-Peer and the Semantic Web for Knowledge Management (pages 245-264) / Dieter Fensel, Steffen Staab, Rudi Studer, Frank van Harmelen and John Davies Conclusions: Ontology-driven Knowledge Management - Towards the Semantic Web? (pages 265-266) / John Davies, Dieter Fensel and Frank van Harmelen

LCSH

Semantic web

RSWK

Semantic Web / Wissensmanagement / Wissenserwerb
Wissensmanagement / World Wide web (BVB)

Subject

Semantic Web / Wissensmanagement / Wissenserwerb
Wissensmanagement / World Wide web (BVB)
Semantic web

Theme

Semantic Web

0.027806558 = product of:
  0.12976393 = sum of:
    0.052200656 = weight(_text_:wide in 2553) [ClassicSimilarity], result of:
      0.052200656 = score(doc=2553,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.3916274 = fieldWeight in 2553, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0625 = fieldNorm(doc=2553)
    0.06936901 = weight(_text_:web in 2553) [ClassicSimilarity], result of:
      0.06936901 = score(doc=2553,freq=12.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.70657074 = fieldWeight in 2553, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=2553)
    0.008194275 = weight(_text_:information in 2553) [ClassicSimilarity], result of:
      0.008194275 = score(doc=2553,freq=2.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.1551638 = fieldWeight in 2553, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0625 = fieldNorm(doc=2553)
  0.21428572 = coord(3/14)

Abstract

Über hundert Teilnehmerinnen und Teilnehmer informierten sich beim 9. AIKSymposium "Semantic Web" Mitte April über laufende Forschungs- und Entwicklungsarbeiten zur maschinellen Interpretation von Web-Inhalten. Die Informatik-Forschung will mit diesem Ansatz die Informationsbeschaffung aus dem World Wide Web automatisieren.

Footnote

Bericht vom 9. AIK-Symposium "Semantic Web", April 2002

Source

Information - Wissenschaft und Praxis. 53(2002) H.5, S.299-300

Theme

Semantic Web

0.027507145 = product of:
  0.096275 = sum of:
    0.026100328 = weight(_text_:wide in 700) [ClassicSimilarity], result of:
      0.026100328 = score(doc=700,freq=2.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.1958137 = fieldWeight in 700, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.03125 = fieldNorm(doc=700)
    0.040050216 = weight(_text_:web in 700) [ClassicSimilarity], result of:
      0.040050216 = score(doc=700,freq=16.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.4079388 = fieldWeight in 700, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=700)
    0.0057942276 = weight(_text_:information in 700) [ClassicSimilarity], result of:
      0.0057942276 = score(doc=700,freq=4.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.10971737 = fieldWeight in 700, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=700)
    0.024330227 = weight(_text_:retrieval in 700) [ClassicSimilarity], result of:
      0.024330227 = score(doc=700,freq=8.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.26736724 = fieldWeight in 700, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=700)
  0.2857143 = coord(4/14)

Abstract

The Semantic Web realization depends on the availability of a critical mass of metadata for the web content, associated with the respective formal knowledge about the world. We claim that the Semantic Web, at its current stage of development, is in a state of a critical need of metadata generation and usage schemata that are specific, well-defined and easy to understand. This paper introduces our vision for a holistic architecture for semantic annotation, indexing, and retrieval of documents with regard to extensive semantic repositories. A system (called KIM), implementing this concept, is presented in brief and it is used for the purposes of evaluation and demonstration. A particular schema for semantic annotation with respect to real-world entities is proposed. The underlying philosophy is that a practical semantic annotation is impossible without some particular knowledge modelling commitments. Our understanding is that a system for such semantic annotation should be based upon a simple model of real-world entity classes, complemented with extensive instance knowledge. To ensure the efficiency, ease of sharing, and reusability of the metadata, we introduce an upper-level ontology (of about 250 classes and 100 properties), which starts with some basic philosophical distinctions and then goes down to the most common entity types (people, companies, cities, etc.). Thus it encodes many of the domain-independent commonsense concepts and allows straightforward domain-specific extensions. On the basis of the ontology, a large-scale knowledge base of entity descriptions is bootstrapped, and further extended and maintained. Currently, the knowledge bases usually scales between 105 and 106 descriptions. Finally, this paper presents a semantically enhanced information extraction system, which provides automatic semantic annotation with references to classes in the ontology and to instances. The system has been running over a continuously growing document collection (currently about 0.5 million news articles), so it has been under constant testing and evaluation for some time now. On the basis of these semantic annotations, we perform semantic based indexing and retrieval where users can mix traditional information retrieval (IR) queries and ontology-based ones. We argue that such large-scale, fully automatic methods are essential for the transformation of the current largely textual web into a Semantic Web.

Source

Web semantics: science, services and agents on the World Wide Web. 2(2004) no.1, S.49-79

Theme

Semantic Web

0.02660822 = product of:
  0.12417169 = sum of:
    0.065561205 = weight(_text_:web in 4329) [ClassicSimilarity], result of:
      0.065561205 = score(doc=4329,freq=14.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.6677857 = fieldWeight in 4329, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4329)
    0.016032588 = weight(_text_:information in 4329) [ClassicSimilarity], result of:
      0.016032588 = score(doc=4329,freq=10.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.3035872 = fieldWeight in 4329, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4329)
    0.042577896 = weight(_text_:retrieval in 4329) [ClassicSimilarity], result of:
      0.042577896 = score(doc=4329,freq=8.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.46789268 = fieldWeight in 4329, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4329)
  0.21428572 = coord(3/14)

Abstract

Plenty of contemporary attempts to search exist that are associated with the area of Semantic Web. But which of them qualify as information retrieval for the Semantic Web? Do such approaches exist? To answer these questions we take a look at the nature of the Semantic Web and Semantic Desktop and at definitions for information and data retrieval. We survey current approaches referred to by their authors as information retrieval for the Semantic Web or that use Semantic Web technology for search.

Source

Lernen - Wissen - Adaption : workshop proceedings / LWA 2007, Halle, September 2007. Martin Luther University Halle-Wittenberg, Institute for Informatics, Databases and Information Systems. Hrsg.: Alexander Hinneburg

Theme

Semantic Web

0.026559236 = product of:
  0.09295732 = sum of:
    0.04696304 = weight(_text_:web in 411) [ClassicSimilarity], result of:
      0.04696304 = score(doc=411,freq=22.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.47835067 = fieldWeight in 411, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=411)
    0.029732022 = weight(_text_:elektronische in 411) [ClassicSimilarity], result of:
      0.029732022 = score(doc=411,freq=2.0), product of:
        0.14226305 = queryWeight, product of:
          4.728978 = idf(docFreq=1061, maxDocs=44218)
          0.030083254 = queryNorm
        0.20899329 = fieldWeight in 411, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.728978 = idf(docFreq=1061, maxDocs=44218)
          0.03125 = fieldNorm(doc=411)
    0.0040971376 = weight(_text_:information in 411) [ClassicSimilarity], result of:
      0.0040971376 = score(doc=411,freq=2.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.0775819 = fieldWeight in 411, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=411)
    0.012165113 = weight(_text_:retrieval in 411) [ClassicSimilarity], result of:
      0.012165113 = score(doc=411,freq=2.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.13368362 = fieldWeight in 411, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=411)
  0.2857143 = coord(4/14)

Abstract

The Web has become the world's largest database, with search being the main tool that allows organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential. In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers. The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.

Content

Inhalt: Introduction.- Part I Introduction to Web of Data.- Topology of the Web of Data.- Storing and Indexing Massive RDF Data Sets.- Designing Exploratory Search Applications upon Web Data Sources.- Part II Search over the Web.- Path-oriented Keyword Search query over RDF.- Interactive Query Construction for Keyword Search on the SemanticWeb.- Understanding the Semantics of Keyword Queries on Relational DataWithout Accessing the Instance.- Keyword-Based Search over Semantic Data.- Semantic Link Discovery over Relational Data.- Embracing Uncertainty in Entity Linking.- The Return of the Entity-Relationship Model: Ontological Query Answering.- Linked Data Services and Semantics-enabled Mashup.- Part III Linked Data Search engines.- A Recommender System for Linked Data.- Flint: from Web Pages to Probabilistic Semantic Data.- Searching and Browsing Linked Data with SWSE.

Footnote

Elektronische Ausgabe unter: http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1gd0L5.C3WE8i..N.WdtM.3uq2.bW89MQ%5f%5fCYKEFOP0.

Theme

Semantic Web
Semantisches Umfeld in Indexierung u. Retrieval

0.02616349 = product of:
  0.09157221 = sum of:
    0.03691144 = weight(_text_:wide in 230) [ClassicSimilarity], result of:
      0.03691144 = score(doc=230,freq=4.0), product of:
        0.13329163 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.030083254 = queryNorm
        0.2769224 = fieldWeight in 230, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.03125 = fieldNorm(doc=230)
    0.031662475 = weight(_text_:web in 230) [ClassicSimilarity], result of:
      0.031662475 = score(doc=230,freq=10.0), product of:
        0.098177016 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.030083254 = queryNorm
        0.32250395 = fieldWeight in 230, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=230)
    0.0057942276 = weight(_text_:information in 230) [ClassicSimilarity], result of:
      0.0057942276 = score(doc=230,freq=4.0), product of:
        0.052810486 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.030083254 = queryNorm
        0.10971737 = fieldWeight in 230, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=230)
    0.017204069 = weight(_text_:retrieval in 230) [ClassicSimilarity], result of:
      0.017204069 = score(doc=230,freq=4.0), product of:
        0.09099928 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.030083254 = queryNorm
        0.18905719 = fieldWeight in 230, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=230)
  0.2857143 = coord(4/14)

Abstract

Currently, techniques for content description and query processing in Information Retrieval (IR) are based on keywords, and therefore provide limited capabilities to capture the conceptualizations associated with user needs and contents. Aiming to solve the limitations of keyword-based models, the idea of conceptual search, understood as searching by meanings rather than literal strings, has been the focus of a wide body of research in the IR field. More recently, it has been used as a prototypical scenario (or even envisioned as a potential "killer app") in the Semantic Web (SW) vision, since its emergence in the late nineties. However, current approaches to semantic search developed in the SW area have not yet taken full advantage of the acquired knowledge, accumulated experience, and technological sophistication achieved through several decades of work in the IR field. Starting from this position, this work investigates the definition of an ontology-based IR model, oriented to the exploitation of domain Knowledge Bases to support semantic search capabilities in large document repositories, stressing on the one hand the use of fully fledged ontologies in the semantic-based perspective, and on the other hand the consideration of unstructured content as the target search space. The major contribution of this work is an innovative, comprehensive semantic search model, which extends the classic IR model, addresses the challenges of the massive and heterogeneous Web environment, and integrates the benefits of both keyword and semantic-based search. Additional contributions include: an innovative rank fusion technique that minimizes the undesired effects of knowledge sparseness on the yet juvenile SW, and the creation of a large-scale evaluation benchmark, based on TREC IR evaluation standards, which allows a rigorous comparison between IR and SW approaches. Conducted experiments show that our semantic search model obtained comparable and better performance results (in terms of MAP and P@10 values) than the best TREC automatic system.

Source

Web semantics: science, services and agents on the World Wide Web. 9(2011) no.4, S.434-452

Theme

Semantic Web