Search (345 results, page 1 of 18)

0.13591965 = product of:
  0.22653273 = sum of:
    0.04894128 = product of:
      0.14682384 = sum of:
        0.14682384 = weight(_text_:3a in 701) [ClassicSimilarity], result of:
          0.14682384 = score(doc=701,freq=2.0), product of:
            0.391866 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046221454 = 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)
    0.030767601 = weight(_text_:web in 701) [ClassicSimilarity], result of:
      0.030767601 = score(doc=701,freq=4.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = 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)
    0.14682384 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.14682384 = score(doc=701,freq=2.0), product of:
        0.391866 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046221454 = 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)
  0.6 = coord(3/5)

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

0.12810768 = product of:
  0.2135128 = sum of:
    0.070890784 = weight(_text_:wide in 4706) [ClassicSimilarity], result of:
      0.070890784 = score(doc=4706,freq=4.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = 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)
    0.12462303 = weight(_text_:web in 4706) [ClassicSimilarity], result of:
      0.12462303 = score(doc=4706,freq=42.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = 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)
    0.017998978 = product of:
      0.035997957 = sum of:
        0.035997957 = weight(_text_:research in 4706) [ClassicSimilarity], result of:
          0.035997957 = score(doc=4706,freq=6.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.2729826 = fieldWeight in 4706, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4706)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

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

0.10859149 = product of:
  0.18098581 = sum of:
    0.060152818 = weight(_text_:wide in 3609) [ClassicSimilarity], result of:
      0.060152818 = score(doc=3609,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.29372054 = fieldWeight in 3609, 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=3609)
    0.10319767 = weight(_text_:web in 3609) [ClassicSimilarity], result of:
      0.10319767 = score(doc=3609,freq=20.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.6841342 = fieldWeight in 3609, 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=3609)
    0.017635323 = product of:
      0.035270646 = sum of:
        0.035270646 = weight(_text_:research in 3609) [ClassicSimilarity], result of:
          0.035270646 = score(doc=3609,freq=4.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.2674672 = fieldWeight in 3609, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046875 = fieldNorm(doc=3609)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

The major developments ofthe World-Wide Web (WWW) in the last two years have been Web Services and the Semantic Web. The former allows the construction of distributed systems across the WWW by providing a lightweight middleware architecture. The latter provides an infrastructure for accessing resources an the WWW via their relationships with respect to conceptual descriptions. In this paper, I shall review the progress undertaken in each of these two areas. Further, I shall argue that in order for the aims of both the Semantic Web and the Web Services activities to be successful, then the Web Service architecture needs to be augmented by concepts and tools of the Semantic Web. This infrastructure will allow resource discovery, brokering and access to be enabled in a standardised, integrated and interoperable manner. Finally, I survey the CLRC Information Technology R&D programme to show how it is contributing to the development of this future infrastructure.

Source

Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase

Theme

Semantic Web

0.10248615 = product of:
  0.17081024 = sum of:
    0.056712627 = weight(_text_:wide in 4707) [ClassicSimilarity], result of:
      0.056712627 = score(doc=4707,freq=4.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.2769224 = fieldWeight in 4707, 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=4707)
    0.099698424 = weight(_text_:web in 4707) [ClassicSimilarity], result of:
      0.099698424 = score(doc=4707,freq=42.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.6609364 = fieldWeight in 4707, product of:
          6.4807405 = tf(freq=42.0), with freq of:
            42.0 = termFreq=42.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=4707)
    0.014399181 = product of:
      0.028798362 = sum of:
        0.028798362 = weight(_text_:research in 4707) [ClassicSimilarity], result of:
          0.028798362 = score(doc=4707,freq=6.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.21838607 = fieldWeight in 4707, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.03125 = fieldNorm(doc=4707)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

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

0.10191626 = product of:
  0.16986042 = sum of:
    0.07017829 = weight(_text_:wide in 80) [ClassicSimilarity], result of:
      0.07017829 = score(doc=80,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.342674 = fieldWeight in 80, 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=80)
    0.08513374 = weight(_text_:web in 80) [ClassicSimilarity], result of:
      0.08513374 = score(doc=80,freq=10.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.5643819 = fieldWeight in 80, 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=80)
    0.014548399 = product of:
      0.029096797 = sum of:
        0.029096797 = weight(_text_:research in 80) [ClassicSimilarity], result of:
          0.029096797 = score(doc=80,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.22064918 = fieldWeight in 80, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.0546875 = fieldNorm(doc=80)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

The Semantic Web and ontologies can help archaeologists combine and share data, making it more open and useful. Archaeologists create diverse types of data, using a wide variety of technologies and methodologies. Like all research domains, these data are increasingly digital. The creation of data that are now openly and persistently available from disparate sources has also inspired efforts to bring archaeological resources together and make them more interoperable. This allows functionality such as federated cross-search across different datasets, and the mapping of heterogeneous data to authoritative structures to build a single data source. Ontologies provide the structure and relationships for Semantic Web data, and have been developed for use in cultural heritage applications generally, and archaeology specifically. A variety of online resources for archaeology now incorporate Semantic Web principles and technologies.

Theme

Semantic Web

0.09758445 = product of:
  0.24396113 = sum of:
    0.113425255 = weight(_text_:wide in 5788) [ClassicSimilarity], result of:
      0.113425255 = score(doc=5788,freq=4.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.5538448 = fieldWeight in 5788, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0625 = fieldNorm(doc=5788)
    0.13053587 = weight(_text_:web in 5788) [ClassicSimilarity], result of:
      0.13053587 = score(doc=5788,freq=18.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.86536884 = fieldWeight in 5788, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=5788)
  0.4 = coord(2/5)

Abstract

Semantic Web - das ist die Anwendung von Wissenstechnologie im World Wide Web. Dieses Kapitel beschreibt in einigen einführenden Absätzen die Aufgabe und Entstehung von Standards. Sodann gibt es einen Überblick über die Technologien und Standards, die für das Web und seine Erweiterung zum Semantic Web entwickelt und eingesetzt werden. Diese werden überwiegend vom World Wide Web Consortium (W3C) [35] definiert. Abschließend folgen einige Bemerkungen zur weiteren Entwicklung des Semantic Web.

Source

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

Theme

Semantic Web

0.09564741 = product of:
  0.15941234 = sum of:
    0.049623545 = weight(_text_:wide in 4515) [ClassicSimilarity], result of:
      0.049623545 = score(doc=4515,freq=4.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = 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)
    0.1025146 = weight(_text_:web in 4515) [ClassicSimilarity], result of:
      0.1025146 = score(doc=4515,freq=58.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = 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)
    0.0072741993 = product of:
      0.014548399 = sum of:
        0.014548399 = weight(_text_:research in 4515) [ClassicSimilarity], result of:
          0.014548399 = score(doc=4515,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.11032459 = fieldWeight in 4515, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.02734375 = fieldNorm(doc=4515)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

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

Object

Web 2.0

RSWK

Semantic Web
World Wide Web 2.0

Subject

Semantic Web
World Wide Web 2.0
Semantic Web

Theme

Semantic Web

0.0937285 = product of:
  0.15621416 = sum of:
    0.0694585 = weight(_text_:wide in 3000) [ClassicSimilarity], result of:
      0.0694585 = score(doc=3000,freq=6.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.3391593 = fieldWeight in 3000, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.03125 = fieldNorm(doc=3000)
    0.0784423 = weight(_text_:web in 3000) [ClassicSimilarity], result of:
      0.0784423 = score(doc=3000,freq=26.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.520022 = fieldWeight in 3000, product of:
          5.0990195 = tf(freq=26.0), with freq of:
            26.0 = termFreq=26.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=3000)
    0.008313371 = product of:
      0.016626742 = sum of:
        0.016626742 = weight(_text_:research in 3000) [ClassicSimilarity], result of:
          0.016626742 = score(doc=3000,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.12608525 = fieldWeight in 3000, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.03125 = fieldNorm(doc=3000)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Six years ago in this magazine, Tim Berners-Lee, James Hendler and Ora Lassila unveiled a nascent vision of the Semantic Web: a highly interconnected network of data that could be easily accessed and understood by any desktop or handheld machine. They painted a future of intelligent software agents that would head out on the World Wide Web and automatically book flights and hotels for our trips, update our medical records and give us a single, customized answer to a particular question without our having to search for information or pore through results. They also presented the young technologies that would make this vision come true: a common language for representing data that could be understood by all kinds of software agents; ontologies--sets of statements--that translate information from disparate databases into common terms; and rules that allow software agents to reason about the information described in those terms. The data format, ontologies and reasoning software would operate like one big application on the World Wide Web, analyzing all the raw data stored in online databases as well as all the data about the text, images, video and communications the Web contained. Like the Web itself, the Semantic Web would grow in a grassroots fashion, only this time aided by working groups within the World Wide Web Consortium, which helps to advance the global medium. Since then skeptics have said the Semantic Web would be too difficult for people to understand or exploit. Not so. The enabling technologies have come of age. A vibrant community of early adopters has agreed on standards that have steadily made the Semantic Web practical to use. Large companies have major projects under way that will greatly improve the efficiencies of in-house operations and of scientific research. Other firms are using the Semantic Web to enhance business-to-business interactions and to build the hidden data-processing structures, or back ends, behind new consumer services. And like an iceberg, the tip of this large body of work is emerging in direct consumer applications, too.

Content

Vgl. auch unter: http://thefigtrees.net/lee/sw/sciam/semantic-web-in-action#single-page.

Theme

Semantic Web

0.09042877 = product of:
  0.1507146 = sum of:
    0.05012735 = weight(_text_:wide in 1643) [ClassicSimilarity], result of:
      0.05012735 = score(doc=1643,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.24476713 = fieldWeight in 1643, 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=1643)
    0.09019554 = weight(_text_:web in 1643) [ClassicSimilarity], result of:
      0.09019554 = score(doc=1643,freq=22.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.59793836 = fieldWeight in 1643, 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=1643)
    0.010391714 = product of:
      0.020783428 = sum of:
        0.020783428 = weight(_text_:research in 1643) [ClassicSimilarity], result of:
          0.020783428 = score(doc=1643,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.15760657 = fieldWeight in 1643, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1643)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-readable definitions in 30 languages, relationships to other resources, classifications in four concept hierarchies, various facts as well as data-level links to other Web data sources describing the entity. Over the last year, an increasing number of data publishers have begun to set data-level links to DBpedia resources, making DBpedia a central interlinking hub for the emerging Web of data. Currently, the Web of interlinked data sources around DBpedia provides approximately 4.7 billion pieces of information and covers domains suc as geographic information, people, companies, films, music, genes, drugs, books, and scientific publications. This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia.

Content

Vgl. unter: http://www.wiwiss.fu-berlin.de/en/institute/pwo/bizer/research/publications/Bizer-etal-DBpedia-CrystallizationPoint-JWS-Preprint.pdf.

Source

Journal of Web semantics: science, services and agents on the World Wide Web, no.7, S.154-165

Theme

Semantic Web

0.085262395 = product of:
  0.14210398 = sum of:
    0.05012735 = weight(_text_:wide in 1210) [ClassicSimilarity], result of:
      0.05012735 = score(doc=1210,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.24476713 = fieldWeight in 1210, 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=1210)
    0.08158492 = weight(_text_:web in 1210) [ClassicSimilarity], result of:
      0.08158492 = score(doc=1210,freq=18.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.5408555 = fieldWeight in 1210, 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=1210)
    0.010391714 = product of:
      0.020783428 = sum of:
        0.020783428 = weight(_text_:research in 1210) [ClassicSimilarity], result of:
          0.020783428 = score(doc=1210,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.15760657 = fieldWeight in 1210, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1210)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

The current web consists of documents that are highly heterogeneous and hard for machines to understand. The Semantic Web is a progressive movement of the Word Wide Web, aiming at converting the current web of unstructured documents to the web of data. In the Semantic Web, web documents are annotated with metadata using standardized ontology language. These annotated documents are directly processable by machines and it highly improves their usability and usefulness. In Ericsson, similar problems occur. There are massive documents being created with well-defined structures. Though these documents are about domain specific knowledge and can have rich relations, they are currently managed by a traditional search engine, which ignores the rich domain specific information and presents few data to users. Motivated by the Semantic Web, we aim to find standard ways to process these documents, extract rich domain specific information and annotate these data to documents with formal markup languages. We propose this project to develop a domain specific search engine for processing different documents and building explicit relations for them. This research project consists of the three main focuses: examining different domain specific documents and finding ways to extract their metadata; integrating a text search engine with an ontology server; exploring novel ways to build relations for documents. We implement this system and demonstrate its functions. As a prototype, the system provides required features and will be extended in the future.

Theme

Semantic Web

0.08273448 = product of:
  0.1378908 = sum of:
    0.060152818 = weight(_text_:wide in 229) [ClassicSimilarity], result of:
      0.060152818 = score(doc=229,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.29372054 = fieldWeight in 229, 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=229)
    0.065267935 = weight(_text_:web in 229) [ClassicSimilarity], result of:
      0.065267935 = score(doc=229,freq=8.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.43268442 = fieldWeight in 229, 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=229)
    0.012470056 = product of:
      0.024940113 = sum of:
        0.024940113 = weight(_text_:research in 229) [ClassicSimilarity], result of:
          0.024940113 = score(doc=229,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.18912788 = fieldWeight in 229, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046875 = fieldNorm(doc=229)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

While much of a company's knowledge can be found in text repositories, current content management systems have limited capabilities for structuring and interpreting documents. In the emerging Semantic Web, search, interpretation and aggregation can be addressed by ontology-based semantic mark-up. In this paper, we examine semantic annotation, identify a number of requirements, and review the current generation of semantic annotation systems. This analysis shows that, while there is still some way to go before semantic annotation tools will be able to address fully all the knowledge management needs, research in the area is active and making good progress.

Source

Web semantics: science, services and agents on the World Wide Web. 4(2006) no.1, S.14-28

Theme

Semantic Web

0.07960548 = product of:
  0.1326758 = sum of:
    0.040101882 = weight(_text_:wide in 4725) [ClassicSimilarity], result of:
      0.040101882 = score(doc=4725,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.1958137 = fieldWeight in 4725, 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=4725)
    0.084260546 = weight(_text_:web in 4725) [ClassicSimilarity], result of:
      0.084260546 = score(doc=4725,freq=30.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.5585932 = fieldWeight in 4725, product of:
          5.477226 = tf(freq=30.0), with freq of:
            30.0 = termFreq=30.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=4725)
    0.008313371 = product of:
      0.016626742 = sum of:
        0.016626742 = weight(_text_:research in 4725) [ClassicSimilarity], result of:
          0.016626742 = score(doc=4725,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.12608525 = fieldWeight in 4725, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.03125 = fieldNorm(doc=4725)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes - the publication and consumption of Linked Data. Drawing on a practical Linked Data scenario, we provide guidance and best practices on: architectural approaches to publishing Linked Data; choosing URIs and vocabularies to identify and describe resources; deciding what data to return in a description of a resource on the Web; methods and frameworks for automated linking of data sets; and testing and debugging approaches for Linked Data deployments. We give an overview of existing Linked Data applications and then examine the architectures that are used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for application development, research or further study.

Content

Inhalt: Introduction - Principles ofLinked Data - The Web ofData - Linked Data Design Considerations - Linked Data Design Considerations - Consuming Linked Data - Summary and Outlook Vgl.: http://linkeddatabook.com/book.

RSWK

Semantic Web / Forschungsergebnis / Forschung / Daten / Hyperlink

Series

Synthesis lectures on the semantic web: theory and technology ; 1

Subject

Semantic Web / Forschungsergebnis / Forschung / Daten / Hyperlink

Theme

Semantic Web

0.079531126 = product of:
  0.1988278 = sum of:
    0.092837155 = weight(_text_:wide in 1981) [ClassicSimilarity], result of:
      0.092837155 = score(doc=1981,freq=14.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = 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)
    0.105990656 = weight(_text_:web in 1981) [ClassicSimilarity], result of:
      0.105990656 = score(doc=1981,freq=62.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = 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)
  0.4 = coord(2/5)

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

0.07879063 = product of:
  0.1313177 = sum of:
    0.04341156 = weight(_text_:wide in 468) [ClassicSimilarity], result of:
      0.04341156 = score(doc=468,freq=6.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.21197456 = fieldWeight in 468, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.01953125 = fieldNorm(doc=468)
    0.08271029 = weight(_text_:web in 468) [ClassicSimilarity], result of:
      0.08271029 = score(doc=468,freq=74.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.548316 = fieldWeight in 468, product of:
          8.602325 = tf(freq=74.0), with freq of:
            74.0 = termFreq=74.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.01953125 = fieldNorm(doc=468)
    0.005195857 = product of:
      0.010391714 = sum of:
        0.010391714 = weight(_text_:research in 468) [ClassicSimilarity], result of:
          0.010391714 = score(doc=468,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.078803286 = fieldWeight in 468, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.01953125 = fieldNorm(doc=468)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

The development of the Semantic Web, with machine-readable content, has the potential to revolutionise the World Wide Web and its use. A Semantic Web Primer provides an introduction and guide to this emerging field, describing its key ideas, languages and technologies. Suitable for use as a textbook or for self-study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own. It includes exercises, project descriptions and annotated references to relevant online materials. A Semantic Web Primer is the only available book on the Semantic Web to include a systematic treatment of the different languages (XML, RDF, OWL and rules) and technologies (explicit metadata, ontologies and logic and interference) that are central to Semantic Web development. The book also examines such crucial related topics as ontology engineering and application scenarios. After an introductory chapter, topics covered in succeeding chapters include XML and related technologies that support semantic interoperability; RDF and RDF Schema, the standard data model for machine-processable semantics; and OWL, the W3C-approved standard for a Web ontology language more extensive than RDF Schema; rules, both monotonic and nonmonotonic, in the framework of the Semantic Web; selected application domains and how the Semantic Web would benefit them; the development of ontology-based systems; and current debates on key issues and predictions for the future.

Footnote

Rez. in: JASIST 57(2006) no.8, S.1132-1133 (H. Che): "The World Wide Web has been the main source of an important shift in the way people communicate with each other, get information, and conduct business. However, most of the current Web content is only suitable for human consumption. The main obstacle to providing better quality of service is that the meaning of Web content is not machine-accessible. The "Semantic Web" is envisioned by Tim Berners-Lee as a logical extension to the current Web that enables explicit representations of term meaning. It aims to bring the Web to its full potential via the exploration of these machine-processable metadata. To fulfill this, it pros ides some meta languages like RDF, OWL, DAML+OIL, and SHOE for expressing knowledge that has clear, unambiguous meanings. The first steps in searing the Semantic Web into the current Web are successfully underway. In the forthcoming years, these efforts still remain highly focused in the research and development community. In the next phase, the Semantic Web will respond more intelligently to user queries. The first chapter gets started with an excellent introduction to the Semantic Web vision. At first, today's Web is introduced, and problems with some current applications like search engines are also covered. Subsequently, knowledge management. business-to-consumer electronic commerce, business-to-business electronic commerce, and personal agents are used as examples to show the potential requirements for the Semantic Web. Next comes the brief description of the underpinning technologies, including metadata, ontology, logic, and agent. The differences between the Semantic Web and Artificial Intelligence are also discussed in a later subsection. In section 1.4, the famous "laser-cake" diagram is given to show a layered view of the Semantic Web. From chapter 2, the book starts addressing some of the most important technologies for constructing the Semantic Web. In chapter 2, the authors discuss XML and its related technologies such as namespaces, XPath, and XSLT. XML is a simple, very flexible text format which is often used for the exchange of a wide variety of data on the Web and elsewhere. The W3C has defined various languages on top of XML, such as RDF. Although this chapter is very well planned and written, many details are not included because of the extensiveness of the XML technologies. Many other books on XML provide more comprehensive coverage.
The next chapter introduces resource description framework (RDF) and RDF schema (RDFS). Unlike XML, RDF provides a foundation for expressing the semantics of dada: it is a standard dada model for machine-processable semantics. Resource description framework schema offers a number of modeling primitives for organizing RDF vocabularies in typed hierarchies. In addition to RDF and RDFS, a query language for RDF, i.e. RQL. is introduced. This chapter and the next chapter are two of the most important chapters in the book. Chapter 4 presents another language called Web Ontology Language (OWL). Because RDFS is quite primitive as a modeling language for the Web, more powerful languages are needed. A richer language. DAML+OIL, is thus proposed as a joint endeavor of the United States and Europe. OWL takes DAML+OIL as the starting point, and aims to be the standardized and broadly accepted ontology language. At the beginning of the chapter, the nontrivial relation with RDF/RDFS is discussed. Then the authors describe the various language elements of OWL in some detail. Moreover, Appendix A contains an abstract OWL syntax. which compresses OWL and makes OWL much easier to read. Chapter 5 covers both monotonic and nonmonotonic rules. Whereas the previous chapter's mainly concentrate on specializations of knowledge representation, this chapter depicts the foundation of knowledge representation and inference. Two examples are also givwn to explain monotonic and non-monotonic rules, respectively. "To get the most out of the chapter. readers had better gain a thorough understanding of predicate logic first. Chapter 6 presents several realistic application scenarios to which the Semantic Web technology can be applied. including horizontal information products at Elsevier, data integration at Audi, skill finding at Swiss Life, a think tank portal at EnerSearch, e-learning. Web services, multimedia collection indexing, online procurement, raid device interoperability. These case studies give us some real feelings about the Semantic Web.
The chapter on ontology engineering describes the development of ontology-based systems for the Web using manual and semiautomatic methods. Ontology is a concept similar to taxonomy. As stated in the introduction, ontology engineering deals with some of the methodological issues that arise when building ontologies, in particular, con-structing ontologies manually, reusing existing ontologies. and using semiautomatic methods. A medium-scale project is included at the end of the chapter. Overall the book is a nice introduction to the key components of the Semantic Web. The reading is quite pleasant, in part due to the concise layout that allows just enough content per page to facilitate readers' comprehension. Furthermore, the book provides a large number of examples, code snippets, exercises, and annotated online materials. Thus, it is very suitable for use as a textbook for undergraduates and low-grade graduates, as the authors say in the preface. However, I believe that not only students but also professionals in both academia and iudustry will benefit from the book. The authors also built an accompanying Web site for the book at http://www.semanticwebprimer.org. On the main page, there are eight tabs for each of the eight chapters. For each tabm the following sections are included: overview, example, presentations, problems and quizzes, errata, and links. These contents will greatly facilitate readers: for example, readers can open the listed links to further their readings. The vacancy of the errata sections also proves the quality of the book."

LCSH

Semantic Web

Subject

Semantic Web

Theme

Semantic Web

0.07808319 = product of:
  0.13013864 = sum of:
    0.05209388 = weight(_text_:wide in 4401) [ClassicSimilarity], result of:
      0.05209388 = score(doc=4401,freq=6.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = 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)
    0.0692271 = weight(_text_:web in 4401) [ClassicSimilarity], result of:
      0.0692271 = score(doc=4401,freq=36.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = 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)
    0.008817662 = product of:
      0.017635323 = sum of:
        0.017635323 = weight(_text_:research in 4401) [ClassicSimilarity], result of:
          0.017635323 = score(doc=4401,freq=4.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.1337336 = fieldWeight in 4401, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.0234375 = fieldNorm(doc=4401)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

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

0.07627973 = product of:
  0.12713288 = sum of:
    0.05012735 = weight(_text_:wide in 246) [ClassicSimilarity], result of:
      0.05012735 = score(doc=246,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = 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)
    0.06661381 = weight(_text_:web in 246) [ClassicSimilarity], result of:
      0.06661381 = score(doc=246,freq=12.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = 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)
    0.010391714 = product of:
      0.020783428 = sum of:
        0.020783428 = weight(_text_:research in 246) [ClassicSimilarity], result of:
          0.020783428 = score(doc=246,freq=2.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.15760657 = fieldWeight in 246, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.0390625 = fieldNorm(doc=246)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

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

0.07537997 = product of:
  0.12563327 = sum of:
    0.05012735 = weight(_text_:wide in 3084) [ClassicSimilarity], result of:
      0.05012735 = score(doc=3084,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.24476713 = fieldWeight in 3084, 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=3084)
    0.060809813 = weight(_text_:web in 3084) [ClassicSimilarity], result of:
      0.060809813 = score(doc=3084,freq=10.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = 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)
    0.014696103 = product of:
      0.029392205 = sum of:
        0.029392205 = weight(_text_:research in 3084) [ClassicSimilarity], result of:
          0.029392205 = score(doc=3084,freq=4.0), product of:
            0.13186905 = queryWeight, product of:
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.046221454 = queryNorm
            0.22288933 = fieldWeight in 3084, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.8529835 = idf(docFreq=6931, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3084)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

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.

Source

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

Theme

Semantic Web

0.0748304 = product of:
  0.124717325 = sum of:
    0.040101882 = weight(_text_:wide in 1634) [ClassicSimilarity], result of:
      0.040101882 = score(doc=1634,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = queryNorm
        0.1958137 = fieldWeight in 1634, 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=1634)
    0.030767601 = weight(_text_:web in 1634) [ClassicSimilarity], result of:
      0.030767601 = score(doc=1634,freq=4.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.2039694 = fieldWeight in 1634, 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=1634)
    0.05384784 = sum of:
      0.028798362 = weight(_text_:research in 1634) [ClassicSimilarity], result of:
        0.028798362 = score(doc=1634,freq=6.0), product of:
          0.13186905 = queryWeight, product of:
            2.8529835 = idf(docFreq=6931, maxDocs=44218)
            0.046221454 = queryNorm
          0.21838607 = fieldWeight in 1634, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            2.8529835 = idf(docFreq=6931, maxDocs=44218)
            0.03125 = fieldNorm(doc=1634)
      0.025049476 = weight(_text_:22 in 1634) [ClassicSimilarity], result of:
        0.025049476 = score(doc=1634,freq=2.0), product of:
          0.16185966 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046221454 = queryNorm
          0.15476047 = fieldWeight in 1634, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=1634)
  0.6 = coord(3/5)

Abstract

Purpose - Ontologies are prone to wide semantic variability due to subjective points of view of their composers. The purpose of this paper is to propose a new approach for maximal unification of diverse ontologies for controversial domains by their relations. Design/methodology/approach - Effective matching or unification of multiple ontologies for a specific domain is crucial for the success of many semantic web applications, such as semantic information retrieval and organization, document tagging, summarization and search. To this end, numerous automatic and semi-automatic techniques were proposed in the past decade that attempt to identify similar entities, mostly classes, in diverse ontologies for similar domains. Apparently, matching individual entities cannot result in full integration of ontologies' semantics without matching their inter-relations with all other-related classes (and instances). However, semantic matching of ontological relations still constitutes a major research challenge. Therefore, in this paper the authors propose a new paradigm for assessment of maximal possible matching and unification of ontological relations. To this end, several unification rules for ontological relations were devised based on ontological reference rules, and lexical and textual entailment. These rules were semi-automatically implemented to extend a given ontology with semantically matching relations from another ontology for a similar domain. Then, the ontologies were unified through these similar pairs of relations. The authors observe that these rules can be also facilitated to reveal the contradictory relations in different ontologies. Findings - To assess the feasibility of the approach two experiments were conducted with different sets of multiple personal ontologies on controversial domains constructed by trained subjects. The results for about 50 distinct ontology pairs demonstrate a good potential of the methodology for increasing inter-ontology agreement. Furthermore, the authors show that the presented methodology can lead to a complete unification of multiple semantically heterogeneous ontologies. Research limitations/implications - This is a conceptual study that presents a new approach for semantic unification of ontologies by a devised set of rules along with the initial experimental evidence of its feasibility and effectiveness. However, this methodology has to be fully automatically implemented and tested on a larger dataset in future research. Practical implications - This result has implication for semantic search, since a richer ontology, comprised of multiple aspects and viewpoints of the domain of knowledge, enhances discoverability and improves search results. Originality/value - To the best of the knowledge, this is the first study to examine and assess the maximal level of semantic relation-based ontology unification.

Date

20. 1.2015 18:30:22

Theme

Semantic Web

0.07471435 = product of:
  0.18678586 = sum of:
    0.080203764 = weight(_text_:wide in 2553) [ClassicSimilarity], result of:
      0.080203764 = score(doc=2553,freq=2.0), product of:
        0.20479609 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046221454 = 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)
    0.1065821 = weight(_text_:web in 2553) [ClassicSimilarity], result of:
      0.1065821 = score(doc=2553,freq=12.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = 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)
  0.4 = coord(2/5)

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

Theme

Semantic Web

0.07244382 = product of:
  0.18110955 = sum of:
    0.076919004 = weight(_text_:web in 2090) [ClassicSimilarity], result of:
      0.076919004 = score(doc=2090,freq=4.0), product of:
        0.1508442 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046221454 = queryNorm
        0.5099235 = fieldWeight in 2090, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.078125 = fieldNorm(doc=2090)
    0.10419055 = sum of:
      0.041566856 = weight(_text_:research in 2090) [ClassicSimilarity], result of:
        0.041566856 = score(doc=2090,freq=2.0), product of:
          0.13186905 = queryWeight, product of:
            2.8529835 = idf(docFreq=6931, maxDocs=44218)
            0.046221454 = queryNorm
          0.31521314 = fieldWeight in 2090, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.8529835 = idf(docFreq=6931, maxDocs=44218)
            0.078125 = fieldNorm(doc=2090)
      0.062623695 = weight(_text_:22 in 2090) [ClassicSimilarity], result of:
        0.062623695 = score(doc=2090,freq=2.0), product of:
          0.16185966 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046221454 = queryNorm
          0.38690117 = fieldWeight in 2090, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.078125 = fieldNorm(doc=2090)
  0.4 = coord(2/5)

Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

Theme

Semantic Web