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Title: Cooperative Question Answering for the Semantic Web
Authors: Melo, Dora
Rodrigues, Irene Pimenta
Nogueira, Vitor Beires
Editors: Filipe, Joaquim
Kecheng, Liu
Keywords: Natural Language
Question Answering
Semantic Web
Issue Date: Oct-2011
Publisher: Proceedings of the International Conference on Knowledge Management and Information Sharing (KMIS)
Citation: melo_2011_cooperative
Abstract: In this paper we propose a Cooperative Question Answering System that takes as input queries expressed in natural language and is able to return a cooperative answer obtained from resources in the Sematic Web, more specifically DBpedia databases represented in OWL/RDF. Moreover, when the DBpedia provides no answer, we use the WordNet in order 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. 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 clean answer to the user.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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