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Knowledge Engineering and the Semantic Web

5th International Conference, KESW 2014, Kazan, Russia, September 29--October 1, 2014. Proceedings

  • Conference proceedings
  • © 2014

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Overview

Part of the book series: Communications in Computer and Information Science (CCIS, volume 468)

Included in the following conference series:

Conference proceedings info: KESW 2014.

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About this book

This book constitutes the refereed proceedings of the 5th Conference on Knowledge Engineering and the Semantic Web, KESW 2014, held in Kazan, Russia, in September/October 2014. The 18 revised full papers presented together with 4 short system descriptions were carefully reviewed and selected from 44 submissions. The papers address research issues related to semantic web, linked data, ontologies, natural language processing, knowledge representation.

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Keywords

Table of contents (22 papers)

  1. Research and Industry Track Papers

  2. System Description Papers

Other volumes

  1. Knowledge Engineering and the Semantic Web

Editors and Affiliations

  • University of Ulm, Institute of Artificial Intelligence, Ulm, Germany

    Pavel Klinov

  • Mechanics and Optics, Saint Petersburg National Research University of Information Technologies, Saint-Petersburg, Russia

    Dmitry Mouromtsev

Bibliographic Information

  • Book Title: Knowledge Engineering and the Semantic Web

  • Book Subtitle: 5th International Conference, KESW 2014, Kazan, Russia, September 29--October 1, 2014. Proceedings

  • Editors: Pavel Klinov, Dmitry Mouromtsev

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-319-11716-4

  • Publisher: Springer Cham

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

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-11715-7Published: 15 September 2014

  • eBook ISBN: 978-3-319-11716-4Published: 03 September 2014

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XIV, 254

  • Number of Illustrations: 66 b/w illustrations

  • Topics: Information Storage and Retrieval, Artificial Intelligence, Database Management

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