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Towards an Intelligent Web Service for Ontology-Based Query-Answering Dialogues

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

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Abstract

In this paper, we present the design of an intelligent web service for ontology-based query-answering dialogues. This web service is realized through OWL-QL message exchanges between the querying agent and the answering agent. The OWL-QL is a formal language and protocol for query-answering dialogues among Semantic Web agents using knowledge represented in the standard Ontology Web Language(OWL). In OWL-QL settings, the answering agent uses automated reasoning methods to derive answers to queries. We explain the organizational details of each agent and then discuss the usefulness of the graphical OWL-QL query composer included in the querying agent.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Kyonggi University, Suwon-si, Kyonggi-do, 442-760, South Korea

    In-Cheol Kim

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  1. In-Cheol Kim
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Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, IC. (2005). Towards an Intelligent Web Service for Ontology-Based Query-Answering Dialogues. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_37

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  • DOI: https://doi.org/10.1007/11553939_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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