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Work Out the Semantic Web Search: The Cooperative Way
Author(s) -
Dora Melo,
Irene Pimenta Rodrigues,
Vítor Nogueira
Publication year - 2012
Publication title -
advances in artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 1687-7489
pISSN - 1687-7470
DOI - 10.1155/2012/867831
Subject(s) - computer science , wordnet , question answering , ambiguity , semantic web , semantic search , natural language , information retrieval , knowledge base , semantics (computer science) , rdf , meaning (existential) , transitive relation , framenet , knowledge representation and reasoning , social semantic web , semantic computing , path (computing) , world wide web , natural language processing , artificial intelligence , programming language , parsing , psychology , mathematics , combinatorics , psychotherapist
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

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