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Ontology-Driven Question Answering in AquaLog

  • Conference paper
Natural Language Processing and Information Systems (NLDB 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3136))

Abstract

The semantic web vision is one in which rich, ontology-based semantic markup is widely available, both to enable sophisticated interoperability among agents and to support human web users in locating and making sense of information. The availability of semantic markup on the web also opens the way to novel, sophisticated forms of question answering. AquaLog is a portable question-answering system which takes queries expressed in natural language and an ontology as input and returns answers drawn from one or more knowledge bases (KBs), which instantiate the input ontology with domain-specific information. AquaLog makes use of the GATE NLP platform, string metrics algorithms, WordNet and a novel ontology-based relation similarity service to make sense of user queries with respect to the target knowledge base. Finally, although AquaLog has primarily been designed for use with semantic web languages, it makes use of a generic plug-in mechanism, which means it can be easily interfaced to different ontology servers and knowledge representation platforms.

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Authors and Affiliations

  1. Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom

    Vanessa Lopez & Enrico Motta

Authors
  1. Vanessa Lopez
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  2. Enrico Motta
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Editor information

Editors and Affiliations

  1. School of Computing, Science and Engineering Newton Building, University of Salford, M5 4WT, Greater Manchester, UK

    Farid Meziane

  2. Lab. CEDRIC, CNAM, Paris, France

    Elisabeth Métais

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Lopez, V., Motta, E. (2004). Ontology-Driven Question Answering in AquaLog. In: Meziane, F., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2004. Lecture Notes in Computer Science, vol 3136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27779-8_8

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  • DOI: https://doi.org/10.1007/978-3-540-27779-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22564-5

  • Online ISBN: 978-3-540-27779-8

  • eBook Packages: Springer Book Archive

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