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Knowledge Engineering and Knowledge Management

19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014, Proceedings

  • Conference proceedings
  • © 2014

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Editors:
  1. Krzysztof Janowicz

    1. Department of Geography, University of California, Santa Barbara, USA

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  2. Stefan Schlobach

    1. Dept. of Computer Science, VU University Amsterdam, The Netherlands

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  3. Patrick Lambrix

    1. University of Linköping, Sweden

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  4. Eero Hyvönen

    1. Aalto University, Finland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8876)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: EKAW 2014.

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About this book

This book constitutes the refereed proceedings of the 19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014, held in Linköping, Sweden, in November 2014. The 24 full papers and 21 short papers presented were carefully reviewed and selected from 138 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics.

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Table of contents (45 papers)

  1. Front Matter

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  2. Automatic Ontology Population from Product Catalogs

    • Céline Alec, Chantal Reynaud-Delaître, Brigitte Safar, Zied Sellami, Uriel Berdugo
    Pages 1-12
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  3. Measuring Similarity in Ontologies: A New Family of Measures

    • Tahani Alsubait, Bijan Parsia, Uli Sattler
    Pages 13-25
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  4. Relation Extraction from the Web Using Distant Supervision

    • Isabelle Augenstein, Diana Maynard, Fabio Ciravegna
    Pages 26-41
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  5. Inductive Lexical Learning of Class Expressions

    • Lorenz Bühmann, Daniel Fleischhacker, Jens Lehmann, Andre Melo, Johanna Völker
    Pages 42-53
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  6. Question Generation from a Knowledge Base

    • Vinay K. Chaudhri, Peter E. Clark, Adam Overholtzer, Aaron Spaulding
    Pages 54-65
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  7. Inconsistency Monitoring in a Large Scientific Knowledge Base

    • Vinay K. Chaudhri, Rahul Katragadda, Jeff Shrager, Michael Wessel
    Pages 66-79
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  8. Pay-As-You-Go Multi-user Feedback Model for Ontology Matching

    • Isabel F. Cruz, Francesco Loprete, Matteo Palmonari, Cosmin Stroe, Aynaz Taheri
    Pages 80-96
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  9. Information Flow within Relational Multi-context Systems

    • Luís Cruz-Filipe, Graça Gaspar, Isabel Nunes
    Pages 97-108
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  10. Using Linked Data to Diversify Search Results a Case Study in Cultural Heritage

    • Chris Dijkshoorn, Lora Aroyo, Guus Schreiber, Jan Wielemaker, Lizzy Jongma
    Pages 109-120
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  11. Personalised Access to Linked Data

    • Milan Dojchinovski, Tomas Vitvar
    Pages 121-136
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  12. Roadmapping and Navigating in the Ontology Visualization Landscape

    • Marek Dudáš, Ondřej Zamazal, Vojtěch Svátek
    Pages 137-152
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  13. aLDEAS: A Language to Define Epiphytic Assistance Systems

    • Blandine Ginon, Stéphanie Jean-Daubias, Pierre-Antoine Champin, Marie Lefevre
    Pages 153-164
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  14. Ontology Design Pattern Property Specialisation Strategies

    • Karl Hammar
    Pages 165-180
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  15. The uComp Protégé Plugin: Crowdsourcing Enabled Ontology Engineering

    • Florian Hanika, Gerhard Wohlgenannt, Marta Sabou
    Pages 181-196
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  16. Futures Studies Methods for Knowledge Management in Academic Research

    • Sabine Kadlubek, Stella Schulte-Cörne, Florian Welter, Anja Richert, Sabina Jeschke
    Pages 197-202
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  17. Adaptive Concept Vector Space Representation Using Markov Chain Model

    • Zenun Kastrati, Ali Shariq Imran
    Pages 203-208
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  18. A Core Ontology of Macroscopic Stuff

    • C. Maria Keet
    Pages 209-224
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  19. Feasibility of Automated Foundational Ontology Interchangeability

    • Zubeida Casmod Khan, C. Maria Keet
    Pages 225-237
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  20. Automating Cross-Disciplinary Defect Detection in Multi-disciplinary Engineering Environments

    • Olga Kovalenko, Estefanía Serral, Marta Sabou, Fajar J. Ekaputra, Dietmar Winkler, Stefan Biffl
    Pages 238-249
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Other volumes

  1. Knowledge Engineering and Knowledge Management

  2. Knowledge Engineering and Knowledge Management

Editors and Affiliations

  • Department of Geography, University of California, Santa Barbara, USA

    Krzysztof Janowicz

  • Dept. of Computer Science, VU University Amsterdam, The Netherlands

    Stefan Schlobach

  • University of Linköping, Sweden

    Patrick Lambrix

  • Aalto University, Finland

    Eero Hyvönen

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