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The Semantic Web - ISWC 2015

14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I

  • Conference proceedings
  • © 2015


Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9366)

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Conference proceedings info: ISWC 2015.

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About this book

The two-volume set LNCS 9366 and 9367 constitutes the refereed proceedings of the 14th International Semantic Web Conference, ISWC 2015, held in Bethlehem, PA, USA, in October 2015.

The International Semantic Web Conference is the premier forum for Semantic Web research, where cutting edge scientific results and technological innovations are presented, where problems and solutions are discussed, and where the future of this vision is being developed. It brings together specialists in fields such as artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, human-computer interaction, natural language processing, and the social sciences.

The papers cover topics such as querying with SPARQL; querying linked data; linked data; ontology-based data access; ontology alignment; reasoning; instance matching, entity resolution and topic generation; RDF data dynamics; ontology extraction and generation; knowledge graphs and scientific data publication; ontology instance alignment; knowledge graphs; data processing, IoT, sensors; archiving and publishing scientific data; I

oT and sensors; experiments; evaluation; and empirical studies.

Part 1 (LNCS 9366) contains a total of 38 papers which were presented in the research track. They were carefully reviewed and selected from 172 submissions.

Part 2 (LNCS 9367) contains 14 papers from the in-use and software track, 8 papers from the datasets and ontologies track, and 7 papers from the empirical studies and experiments track, selected, respectively, from 33, 35, and 23 submissions.

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Table of contents (38 papers)

  1. Querying with SPARQL

  2. Querying Linked Data

  3. Linked Data

  4. Ontology-Based Data Access

  5. Ontology Alignment

Other volumes

  1. The Semantic Web - ISWC 2015

  2. The Semantic Web - ISWC 2015

Editors and Affiliations

  • Pontificia Universidad Católica de Chile, Santiago de Chile, Chile

    Marcelo Arenas

  • Universidad Politecnica de Madrid, Boadilla del Monte, Spain

    Oscar Corcho

  • University of Southampton, Southampton, United Kingdom

    Elena Simperl

  • Department of Computational Social Science, GESIS Leibniz-Institut, Köln, Germany

    Markus Strohmaier

  • The Open University, Milton Keynes, United Kingdom

    Mathieu d'Aquin

  • IBM Research, Yorktown Heights, USA

    Kavitha Srinivas

  • Elsevier Labs., Amsterdam, The Netherlands

    Paul Groth

  • School of Medicine, Stanford University, Stanford, USA

    Michel Dumontier

  • Lehigh University, Bethlehem, USA

    Jeff Heflin


    Krishnaprasad Thirunarayan

  • Wright State University, Dayton, USA

    Krishnaprasad Thirunarayan

  • University of Koblenz-Landau, Koblenz, Germany

    Steffen Staab

Bibliographic Information

  • Book Title: The Semantic Web - ISWC 2015

  • Book Subtitle: 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I

  • Editors: Marcelo Arenas, Oscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d'Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Krishnaprasad Thirunarayan, Steffen Staab

  • Series Title: Lecture Notes in Computer Science

  • DOI:

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Softcover ISBN: 978-3-319-25006-9Published: 28 September 2015

  • eBook ISBN: 978-3-319-25007-6Published: 13 October 2015

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIV, 675

  • Number of Illustrations: 142 illustrations in colour

  • Topics: Database Management, Artificial Intelligence, Information Storage and Retrieval, Natural Language Processing (NLP)

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