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Advances in Artificial Intelligence
Volume 2012 (2012), Article ID 867831, 9 pages
http://dx.doi.org/10.1155/2012/867831
Research Article

Work Out the Semantic Web Search: The Cooperative Way

1Iscac, Instituto Politécnico de Coimbra, Quinta Agrícola-Bencanta, 3040-316 Coimbra, Portugal
2Centre for Artificial Intelligence (CENTRIA) and Departamento de Informática, FCT/UNL, Quinta da Torre, 2829-516 Caparica, Portugal
3Departamento de Informática, Universidade de Évora, Rua Romão Ramalho, No. 59, 7000-671 Évora, Portugal

Received 16 December 2011; Revised 26 March 2012; Accepted 19 April 2012

Academic Editor: Mladen Stanojević

Copyright © 2012 Dora Melo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We propose a Cooperative Question Answering System that takes as input natural language queries and is able to return a cooperative answer based on semantic web resources, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user. The natural language question is translated into its semantic representation and then answered by consulting the semantics sources of information. The system is able to clarify the problems of ambiguity and helps finding the path to the correct answer. If there are multiple answers to the question posed (or to the similar questions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more cooperative and clarified answer to the user.