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A Network Model Approach to Retrieval in the Semantic Web

Author

Listed:
  • Peter Scheir

    (Graz University of Technology and Know-Center Graz, Austria)

  • Stefanie N. Lindstaedt

    (Know-Center Graz and Graz University of Technology,Austria)

  • Chiara Ghidini

    (Fondazione Bruno Kessler, Italy)

Abstract

While it is agreed that semantic enrichment of resources would lead to better search results, at present the low coverage of resources on the Web with semantic information presents a major hurdle in realizing the vision of search on the Semantic Web. To address this problem, we investigate how to improve retrieval performance in settings where resources are sparsely annotated with semantic information. Techniques from soft computing are employed to find relevant material that was not originally annotated with the concepts used in a query. We present an associative retrieval model for the Semantic Web and evaluate if and to what extent the use of associative retrieval techniques increases retrieval performance. The evaluation of new retrieval paradigms, such as retrieval based on technology for the Semantic Web, presents an additional challenge since no off-the-shelf test corpora exist. Hence, we give a detailed description of the approach taken to evaluate the information retrieval service we have built.

Suggested Citation

  • Peter Scheir & Stefanie N. Lindstaedt & Chiara Ghidini, 2008. "A Network Model Approach to Retrieval in the Semantic Web," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 4(4), pages 56-84, October.
    • Handle: RePEc:igg:jswis0:v:4:y:2008:i:4:p:56-84
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    Cited by:

    1. Colomo-Palacios, Ricardo & García-Crespo, Ángel & Soto-Acosta, Pedro & Ruano-Mayoral, Marcos & Jiménez-López, Diego, 2010. "A case analysis of semantic technologies for R&D intermediation information management," International Journal of Information Management, Elsevier, vol. 30(5), pages 465-469.

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