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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

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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Table of contents (22 papers)

  1. Research and Industry Track Papers

  2. System Description Papers

Other volumes

  1. Knowledge Engineering and the Semantic Web

Keywords

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.

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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