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Using a Dialogue Manager to Improve Semantic Web Search

Author

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  • Dora Melo

    (Coimbra Business School - ISCAC, IPC, Coimbra, Portugal)

  • Irene Pimenta Rodrigues

    (Department of Informatics, University of Évora, Évora, Portugal)

  • Vitor Beires Nogueira

    (Department of Informatics, University of Évora, Évora, Portugal)

Abstract

Question Answering systems that resort to the Semantic Web as a knowledge base can go well beyond the usual matching words in documents and, preferably, find a precise answer, without requiring user help to interpret the documents returned. In this paper, the authors introduce a Dialogue Manager that, through the analysis of the question and the type of expected answer, provides accurate answers to the questions posed in Natural Language. The Dialogue Manager not only represents the semantics of the questions, but also represents the structure of the discourse, including the user intentions and the questions context, adding the ability to deal with multiple answers and providing justified answers. The authors' system performance is evaluated by comparing with similar question answering systems. Although the test suite is slight dimension, the results obtained are very promising.

Suggested Citation

  • Dora Melo & Irene Pimenta Rodrigues & Vitor Beires Nogueira, 2016. "Using a Dialogue Manager to Improve Semantic Web Search," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 12(1), pages 62-78, January.
    • Handle: RePEc:igg:jswis0:v:12:y:2016:i:1:p:62-78
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