Search (152 results, page 1 of 8)

0.16099797 = product of:
  0.32199594 = sum of:
    0.030295055 = product of:
      0.09088516 = sum of:
        0.09088516 = weight(_text_:3a in 701) [ClassicSimilarity], result of:
          0.09088516 = score(doc=701,freq=2.0), product of:
            0.24256827 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.028611459 = 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)
    0.09088516 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.09088516 = score(doc=701,freq=2.0), product of:
        0.24256827 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.028611459 = 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)
    0.09088516 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.09088516 = score(doc=701,freq=2.0), product of:
        0.24256827 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.028611459 = 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)
    0.019045398 = weight(_text_:web in 701) [ClassicSimilarity], result of:
      0.019045398 = score(doc=701,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = 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)
    0.09088516 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.09088516 = score(doc=701,freq=2.0), product of:
        0.24256827 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.028611459 = 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)
  0.5 = coord(5/10)

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

0.021237865 = product of:
  0.106189325 = sum of:
    0.023806747 = weight(_text_:web in 1078) [ClassicSimilarity], result of:
      0.023806747 = score(doc=1078,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.25496176 = fieldWeight in 1078, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1078)
    0.08238258 = weight(_text_:schutz in 1078) [ClassicSimilarity], result of:
      0.08238258 = score(doc=1078,freq=2.0), product of:
        0.20656188 = queryWeight, product of:
          7.2195506 = idf(docFreq=87, maxDocs=44218)
          0.028611459 = queryNorm
        0.3988276 = fieldWeight in 1078, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          7.2195506 = idf(docFreq=87, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1078)
  0.2 = coord(2/10)

Source

Semantic Web - ISWC 2005, 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 2005, Proceedings. Eds.: Yolanda Gil, Enrico Motta, V. Richard Benjamins, Mark A. Musen

0.0151782725 = product of:
  0.07589136 = sum of:
    0.05905745 = weight(_text_:kommunikation in 714) [ClassicSimilarity], result of:
      0.05905745 = score(doc=714,freq=4.0), product of:
        0.14706601 = queryWeight, product of:
          5.140109 = idf(docFreq=703, maxDocs=44218)
          0.028611459 = queryNorm
        0.40157104 = fieldWeight in 714, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.140109 = idf(docFreq=703, maxDocs=44218)
          0.0390625 = fieldNorm(doc=714)
    0.016833913 = weight(_text_:web in 714) [ClassicSimilarity], result of:
      0.016833913 = score(doc=714,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.18028519 = fieldWeight in 714, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=714)
  0.2 = coord(2/10)

Abstract

"Wir ertrinken in Informationen, aber uns dürstet nach Wissen." Trendforscher John Naisbitt drückt hiermit aus, dass es dem Menschen heute nicht mehr möglich ist die Informationsflut, die sich über ihn ergießt, effizient zu verwerten. Er lebt in einer globalisierten Welt mit einem vielfältigen Angebot an Medien, wie Presse, Radio, Fernsehen und dem Internet. Die Problematik der mangelnden Auswertbarkeit von großen Informationsmengen ist dabei vor allem im Internet akut. Die Quantität, Verbreitung, Aktualität und Verfügbarkeit sind die großen Vorteile des World Wide Web (WWW). Die Probleme liegen in der Qualität und Dichte der Informationen. Das Information Retrieval muss effizienter gestaltet werden, um den wirtschaftlichen und kulturellen Nutzen einer vernetzten Welt zu erhalten.Matthias Erbarth beleuchtet zunächst genau diesen Themenkomplex, um im Anschluss ein Format für elektronische Dokumente, insbesondere kommerzielle Publikationen, zu entwickeln. Dieses Anwendungsbeispiel stellt eine semantische Inhaltsbeschreibung mit Metadaten mittels XML vor, wobei durch Nutzung von Verweisen und Auswertung von Zusammenhängen insbesondere eine netzförmige Darstellung berücksichtigt wird.

Classification

AP 15860 Allgemeines / Medien- und Kommunikationswissenschaften, Kommunikationsdesign / Formen der Kommunikation und des Kommunikationsdesigns / Kommunikationsdesign in elektronischen Medien

RVK

AP 15860 Allgemeines / Medien- und Kommunikationswissenschaften, Kommunikationsdesign / Formen der Kommunikation und des Kommunikationsdesigns / Kommunikationsdesign in elektronischen Medien

0.014340699 = product of:
  0.07170349 = sum of:
    0.063880205 = weight(_text_:web in 439) [ClassicSimilarity], result of:
      0.063880205 = score(doc=439,freq=20.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.6841342 = fieldWeight in 439, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=439)
    0.007823291 = product of:
      0.023469873 = sum of:
        0.023469873 = weight(_text_:29 in 439) [ClassicSimilarity], result of:
          0.023469873 = score(doc=439,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.23319192 = fieldWeight in 439, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=439)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

This book constitutes the refereed proceedings of the Second European Semantic Web Conference, ESWC 2005, heldin Heraklion, Crete, Greece in May/June 2005. The 48 revised full papers presented were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on semantic Web services, languages, ontologies, reasoning and querying, search and information retrieval, user and communities, natural language for the semantic Web, annotation tools, and semantic Web applications.

RSWK

Semantic Web / Kongress / Iraklion <2005>
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Iraklion <2005>

Subject

Semantic Web / Kongress / Iraklion <2005>
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Iraklion <2005>

Theme

Semantic Web

0.0141128125 = product of:
  0.07056406 = sum of:
    0.06022684 = weight(_text_:web in 4685) [ClassicSimilarity], result of:
      0.06022684 = score(doc=4685,freq=10.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.6450079 = fieldWeight in 4685, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=4685)
    0.010337221 = product of:
      0.031011663 = sum of:
        0.031011663 = weight(_text_:22 in 4685) [ClassicSimilarity], result of:
          0.031011663 = score(doc=4685,freq=2.0), product of:
            0.10019246 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.028611459 = queryNorm
            0.30952093 = fieldWeight in 4685, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=4685)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

This document contains and presents test cases for the Web Ontology Language (OWL) approved by the Web Ontology Working Group. Many of the test cases illustrate the correct usage of the Web Ontology Language (OWL), and the formal meaning of its constructs. Other test cases illustrate the resolution of issues considered by the Working Group. Conformance for OWL documents and OWL document checkers is specified.

Date

14. 8.2011 13:33:22

Theme

Semantic Web

0.012991897 = product of:
  0.06495948 = sum of:
    0.057136193 = weight(_text_:web in 4332) [ClassicSimilarity], result of:
      0.057136193 = score(doc=4332,freq=16.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = 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)
    0.007823291 = product of:
      0.023469873 = sum of:
        0.023469873 = weight(_text_:29 in 4332) [ClassicSimilarity], result of:
          0.023469873 = score(doc=4332,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.23319192 = fieldWeight in 4332, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=4332)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

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.

Date

12. 2.2011 17:29:27

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

0.011718767 = product of:
  0.058593832 = sum of:
    0.04175992 = weight(_text_:kommunikation in 5901) [ClassicSimilarity], result of:
      0.04175992 = score(doc=5901,freq=2.0), product of:
        0.14706601 = queryWeight, product of:
          5.140109 = idf(docFreq=703, maxDocs=44218)
          0.028611459 = queryNorm
        0.28395358 = fieldWeight in 5901, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.140109 = idf(docFreq=703, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5901)
    0.016833913 = weight(_text_:web in 5901) [ClassicSimilarity], result of:
      0.016833913 = score(doc=5901,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.18028519 = fieldWeight in 5901, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5901)
  0.2 = coord(2/10)

Abstract

In der Informatik sind Ontologien formale Modelle eines Anwendungsbereiches, die die Kommunikation zwischen menschlichen und/oder maschinellen Akteuren unterstützen und damit den Austausch und das Teilen von Wissen in Unternehmen erleichtern. Ontologien zur strukturierten Darstellung von Wissen zu nutzen hat deshalb in den letzten Jahren zunehmende Verbreitung gefunden. Schon heute existieren weltweit tausende Ontologien. Um Interoperabilität zwischen darauf aufbauenden Softwareagenten oder Webservices zu ermöglichen, ist die semantische Integration der Ontologien eine zwingendnotwendige Vorraussetzung. Wie man sieh leicht verdeutlichen kann, ist die rein manuelle Erstellung der Abbildungen ab einer bestimmten Größe. Komplexität und Veränderungsrate der Ontologien nicht mehr ohne weiteres möglich. Automatische oder semiautomatische Technologien müssen den Nutzer darin unterstützen. Das Integrationsproblem beschäftigt Forschung und Industrie schon seit vielen Jahren z. B. im Bereich der Datenbankintegration. Neu ist jedoch die Möglichkeit komplexe semantische Informationen. wie sie in Ontologien vorhanden sind, einzubeziehen. Zur Ontologieintegration wird in diesem Kapitel ein sechsstufiger genereller Prozess basierend auf den semantischen Strukturen eingeführt. Erweiterungen beschäftigen sich mit der Effizienz oder der optimalen Nutzereinbindung in diesen Prozess. Außerdem werden zwei Anwendungen vorgestellt, in denen dieser Prozess erfolgreich umgesetzt wurde. In einem abschließenden Fazit werden neue aktuelle Trends angesprochen. Da die Ansätze prinzipiell auf jedes Schema übertragbar sind, das eine semantische Basis enthält, geht der Einsatzbereich dieser Forschung weit über reine Ontologieanwendungen hinaus.

Source

Semantic Web: Wege zur vernetzten Wissensgesellschaft. Hrsg.: T. Pellegrini, u. A. Blumauer

0.0114609385 = product of:
  0.05730469 = sum of:
    0.0494814 = weight(_text_:web in 4640) [ClassicSimilarity], result of:
      0.0494814 = score(doc=4640,freq=12.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.5299281 = fieldWeight in 4640, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=4640)
    0.007823291 = product of:
      0.023469873 = sum of:
        0.023469873 = weight(_text_:29 in 4640) [ClassicSimilarity], result of:
          0.023469873 = score(doc=4640,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.23319192 = fieldWeight in 4640, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=4640)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

Ontologies will play a central role in the development of the Semantic Web. It is unrealistic to assume that such ontologies will be developed from scratch. Rather, we assume that existing resources such as thesauri and lexical data bases will be reused in the development of ontologies for the Semantic Web. In this paper we describe a method for converting existing source material to a representation that is compatible with Semantic Web languages such as RDF(S) and OWL. The method is illustrated with three case studies: converting Wordnet, AAT and MeSH to RDF(S) and OWL.

Date

29. 7.2011 14:44:56

Source

Proceedings of the First European Semantic Web Symposium (ESWS2004), Eds.: C. Bussler, J. Davies, D. Fensel and R. Studer. 2004. S.299-311

Theme

Semantic Web

0.011397746 = product of:
  0.05698873 = sum of:
    0.04665151 = weight(_text_:web in 3376) [ClassicSimilarity], result of:
      0.04665151 = score(doc=3376,freq=6.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.49962097 = fieldWeight in 3376, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=3376)
    0.010337221 = product of:
      0.031011663 = sum of:
        0.031011663 = weight(_text_:22 in 3376) [ClassicSimilarity], result of:
          0.031011663 = score(doc=3376,freq=2.0), product of:
            0.10019246 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.028611459 = queryNorm
            0.30952093 = fieldWeight in 3376, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=3376)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

This chapter presents ontologies and their role in the creation of the Semantic Web. Ontologies hold special interest, because they are very closely related to the way we understand the world. They provide common understanding, the very first step to successful communication. In following sections, we will present ontologies, how they are created and used. We will describe available tools for specifying and working with ontologies.

Date

31. 7.2010 16:58:22

Theme

Semantic Web

0.009989449 = product of:
  0.049947243 = sum of:
    0.04082007 = weight(_text_:web in 4471) [ClassicSimilarity], result of:
      0.04082007 = score(doc=4471,freq=6.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.43716836 = fieldWeight in 4471, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4471)
    0.009127174 = product of:
      0.027381519 = sum of:
        0.027381519 = weight(_text_:29 in 4471) [ClassicSimilarity], result of:
          0.027381519 = score(doc=4471,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.27205724 = fieldWeight in 4471, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4471)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

This document describes best practice recipes for publishing vocabularies or ontologies on the Web (in RDF Schema or OWL). The features of each recipe are described in detail, so that vocabulary designers may choose the recipe best suited to their needs. Each recipe introduces general principles and an example configuration for use with an Apache HTTP server (which may be adapted to other environments). The recipes are all designed to be consistent with the architecture of the Web as currently specified, although the associated example configurations have been kept intentionally simple.

Date

14. 8.2011 14:29:06

Theme

Semantic Web

0.009630861 = product of:
  0.048154302 = sum of:
    0.040401388 = weight(_text_:web in 2418) [ClassicSimilarity], result of:
      0.040401388 = score(doc=2418,freq=8.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.43268442 = fieldWeight in 2418, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=2418)
    0.0077529154 = product of:
      0.023258746 = sum of:
        0.023258746 = weight(_text_:22 in 2418) [ClassicSimilarity], result of:
          0.023258746 = score(doc=2418,freq=2.0), product of:
            0.10019246 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.028611459 = queryNorm
            0.23214069 = fieldWeight in 2418, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=2418)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

Integrated digital access to multiple collections is a prominent issue for many Cultural Heritage institutions. The metadata describing diverse collections must be interoperable, which requires aligning the controlled vocabularies that are used to annotate objects from these collections. In this paper, we present an experiment where we match the vocabularies of two collections by applying the Knowledge Representation techniques established in recent Semantic Web research. We discuss the steps that are required for such matching, namely formalising the initial resources using Semantic Web languages, and running ontology mapping tools on the resulting representations. In addition, we present a prototype that enables the user to browse the two collections using the obtained alignment while still providing her with the original vocabulary structures.

Source

Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006

Theme

Semantic Web

0.008832238 = product of:
  0.044161186 = sum of:
    0.037641775 = weight(_text_:web in 3084) [ClassicSimilarity], result of:
      0.037641775 = score(doc=3084,freq=10.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.40312994 = fieldWeight in 3084, 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=3084)
    0.00651941 = product of:
      0.019558229 = sum of:
        0.019558229 = weight(_text_:29 in 3084) [ClassicSimilarity], result of:
          0.019558229 = score(doc=3084,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.19432661 = fieldWeight in 3084, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3084)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

Ontologies have moved beyond the domains of library science, philosophy, and knowledge representation. They are now the concerns of marketing departments, CEOs, and mainstream business. Research analyst companies such as Forrester Research report on the critical roles of ontologies in support of browsing and search for e-commerce and in support of interoperability for facilitation of knowledge management and configuration. One now sees ontologies used as central controlled vocabularies that are integrated into catalogues, databases, web publications, knowledge management applications, etc. Large ontologies are essential components in many online applications including search (such as Yahoo and Lycos), e-commerce (such as Amazon and eBay), configuration (such as Dell and PC-Order), etc. One also sees ontologies that have long life spans, sometimes in multiple projects (such as UMLS, SIC codes, etc.). Such diverse usage generates many implications for ontology environments. In this paper, we will discuss ontologies and requirements in their current instantiations on the web today. We will describe some desirable properties of ontologies. We will also discuss how both simple and complex ontologies are being and may be used to support varied applications. We will conclude with a discussion of emerging trends in ontologies and their environments and briefly mention our evolving ontology evolution environment.

Date

29. 3.1996 18:16:49

Source

Spinning the Semantic Web: bringing the World Wide Web to its full potential. Eds.: D. Fensel u.a

Theme

Semantic Web

0.008562385 = product of:
  0.042811923 = sum of:
    0.03498863 = weight(_text_:web in 4642) [ClassicSimilarity], result of:
      0.03498863 = score(doc=4642,freq=6.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.37471575 = fieldWeight in 4642, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=4642)
    0.007823291 = product of:
      0.023469873 = sum of:
        0.023469873 = weight(_text_:29 in 4642) [ClassicSimilarity], result of:
          0.023469873 = score(doc=4642,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.23319192 = fieldWeight in 4642, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=4642)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

Thesauri can be useful resources for indexing and retrieval on the Semantic Web, but often they are not published in RDF/OWL. To convert thesauri to RDF for use in Semantic Web applications and to ensure the quality and utility of the conversion a structured method is required. Moreover, if different thesauri are to be interoperable without complicated mappings, a standard schema for thesauri is required. This paper presents a method for conversion of thesauri to the SKOS RDF/OWL schema, which is a proposal for such a standard under development by W3Cs Semantic Web Best Practices Working Group. We apply the method to three thesauri: IPSV, GTAA and MeSH. With these case studies we evaluate our method and the applicability of SKOS for representing thesauri.

Date

29. 7.2011 14:44:56

0.007278278 = product of:
  0.03639139 = sum of:
    0.028568096 = weight(_text_:web in 1285) [ClassicSimilarity], result of:
      0.028568096 = score(doc=1285,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.3059541 = fieldWeight in 1285, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=1285)
    0.007823291 = product of:
      0.023469873 = sum of:
        0.023469873 = weight(_text_:29 in 1285) [ClassicSimilarity], result of:
          0.023469873 = score(doc=1285,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.23319192 = fieldWeight in 1285, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=1285)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Content

Inhalt: 1. From traditional Knowledge Organization Systems (authority files, classifications, thesauri) towards ontologies on the web (Alexander Sigel) (Tutorial. Paper with Slides interspersed) pp. 3-53 2. Introduction to Integrative Cross-Language Ontology (ICLO): Formalizing and interrelating textual knowledge to enable intelligent action and knowledge sharing (Winfried Schmitz-Esser) pp. 54-113 3. First Idea Sketch on Modelling ICLO with Topic Maps (Alexander Sigel) (Work in progress paper. Topic maps available from the author) pp. 114-130

Date

17. 7.2006 12:29:55

Theme

Semantic Web

0.007278278 = product of:
  0.03639139 = sum of:
    0.028568096 = weight(_text_:web in 4648) [ClassicSimilarity], result of:
      0.028568096 = score(doc=4648,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.3059541 = fieldWeight in 4648, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=4648)
    0.007823291 = product of:
      0.023469873 = sum of:
        0.023469873 = weight(_text_:29 in 4648) [ClassicSimilarity], result of:
          0.023469873 = score(doc=4648,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.23319192 = fieldWeight in 4648, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=4648)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

The main objective of the MultimediaN E-Culture project is to demonstrate how novel semantic-web and presentation technologies can be deployed to provide better indexing and search support within large virtual collections of culturalheritage resources. The architecture is fully based on open web standards in particular XML, SVG, RDF/OWL and SPARQL. One basic hypothesis underlying this work is that the use of explicit background knowledge in the form of ontologies/vocabularies/thesauri is in particular useful in information retrieval in knowledge-rich domains. This paper gives some details about the internals of the demonstrator.

Date

29. 7.2011 14:44:56

0.007278278 = product of:
  0.03639139 = sum of:
    0.028568096 = weight(_text_:web in 4708) [ClassicSimilarity], result of:
      0.028568096 = score(doc=4708,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.3059541 = fieldWeight in 4708, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=4708)
    0.007823291 = product of:
      0.023469873 = sum of:
        0.023469873 = weight(_text_:29 in 4708) [ClassicSimilarity], result of:
          0.023469873 = score(doc=4708,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.23319192 = fieldWeight in 4708, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=4708)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontologybased KBs to improve search over large document repositories. Our approach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm, and a ranking algorithm. Semantic search is combined with keyword-based search to achieve tolerance to KB incompleteness. Our proposal is illustrated with sample experiments showing improvements with respect to keyword-based search, and providing ground for further research and discussion.

Source

The Semantic Web: research and applications ; second European Semantic WebConference, ESWC 2005, Heraklion, Crete, Greece, May 29 - June 1, 2005 ; proceedings. Eds.: A. Gómez-Pérez u. J. Euzenat

0.007264202 = product of:
  0.03632101 = sum of:
    0.028568096 = weight(_text_:web in 3387) [ClassicSimilarity], result of:
      0.028568096 = score(doc=3387,freq=4.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.3059541 = fieldWeight in 3387, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3387)
    0.0077529154 = product of:
      0.023258746 = sum of:
        0.023258746 = weight(_text_:22 in 3387) [ClassicSimilarity], result of:
          0.023258746 = score(doc=3387,freq=2.0), product of:
            0.10019246 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.028611459 = queryNorm
            0.23214069 = fieldWeight in 3387, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=3387)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Abstract

Libraries are the tools we use to learn and to answer our questions. The quality of our work depends, among others, on the quality of the tools we use. Recent research in digital libraries is focused, on one hand on improving the infrastructure of the digital library management systems (DLMS), and on the other on improving the metadata models used to annotate collections of objects maintained by DLMS. The latter includes, among others, the semantic web and social networking technologies. Recently, the semantic web and social networking technologies are being introduced to the digital libraries domain. The expected outcome is that the overall quality of information discovery in digital libraries can be improved by employing social and semantic technologies. In this chapter we present the results of an evaluation of social and semantic end-user information discovery services for the digital libraries.

Date

1. 8.2010 12:35:22

0.006733565 = product of:
  0.06733565 = sum of:
    0.06733565 = weight(_text_:web in 7190) [ClassicSimilarity], result of:
      0.06733565 = score(doc=7190,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.72114074 = fieldWeight in 7190, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.15625 = fieldNorm(doc=7190)
  0.1 = coord(1/10)

0.006538931 = product of:
  0.032694653 = sum of:
    0.023567477 = weight(_text_:web in 4644) [ClassicSimilarity], result of:
      0.023567477 = score(doc=4644,freq=2.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = queryNorm
        0.25239927 = fieldWeight in 4644, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4644)
    0.009127174 = product of:
      0.027381519 = sum of:
        0.027381519 = weight(_text_:29 in 4644) [ClassicSimilarity], result of:
          0.027381519 = score(doc=4644,freq=2.0), product of:
            0.10064617 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.028611459 = queryNorm
            0.27205724 = fieldWeight in 4644, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4644)
      0.33333334 = coord(1/3)
  0.2 = coord(2/10)

Date

29. 7.2011 14:44:56

Source

Proceedings of the 3rd International Semantic Web Conference (ISWC'04). Eds. D. Plexousakis and F. van Harmelen

0.0062353685 = product of:
  0.062353685 = sum of:
    0.062353685 = weight(_text_:web in 4329) [ClassicSimilarity], result of:
      0.062353685 = score(doc=4329,freq=14.0), product of:
        0.0933738 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.028611459 = 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)
  0.1 = coord(1/10)

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.

Theme

Semantic Web