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PowerAqua: Fishing the Semantic Web

  • Vanessa Lopez
  • Enrico Motta
  • Victoria Uren
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4011)

Abstract

The Semantic Web (SW) offers an opportunity to develop novel, sophisticated forms of question answering (QA). Specifically, the availability of distributed semantic markup on a large scale opens the way to QA systems which can make use of such semantic information to provide precise, formally derived answers to questions. At the same time the distributed, heterogeneous, large-scale nature of the semantic information introduces significant challenges. In this paper we describe the design of a QA system, PowerAqua, designed to exploit semantic markup on the web to provide answers to questions posed in natural language. PowerAqua does not assume that the user has any prior information about the semantic resources. The system takes as input a natural language query, translates it into a set of logical queries, which are then answered by consulting and aggregating information derived from multiple heterogeneous semantic sources.

Keywords

Ontology Term Query Term Question Answering Word Sense Disambiguation Lexical Resource 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Vanessa Lopez
    • 1
  • Enrico Motta
    • 1
  • Victoria Uren
    • 1
  1. 1.Knowledge Media Institute & Centre for Research in ComputingThe Open UniversityMilton KeynesUnited Kingdom

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