Cross ontology query answering on the semantic web: an initial evaluation

  • Authors:

  • Vanessa Lopez;Victoria Uren;Marta Reka Sabou;Enrico Motta

  • Affiliations:

  • The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom

  • Venue:
  • Proceedings of the fifth international conference on Knowledge capture
  • Year:
  • 2009

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Abstract

PowerAqua is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, we detail a new component of the system, the Triple Similarity Service, which is able to match queries effectively to triples found in different ontologies on the Semantic Web. Second, we provide a first evaluation of the system, which in addition to providing data about PowerAqua's competence, also gives us important insights into the issues related to using the Semantic Web as the target answer set in Question Answering. In particular, we show that, despite the problems related to the noisy and incomplete conceptualizations, which can be found on the Semantic Web, good results can already be obtained.