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Puzzle Out the Semantic Web Search
June 2012
dorad
In this paper 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 consult- ing 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 ac- cording to their semantic meaning, providing a more cooperative answer to the user.
Journal
Dora Melo, Vitor Nogueira, I Rodrigues
International Journal of Computational Linguistics and Applications
BAHRI PUBLICATIONS
-
3
1
91–106
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0976-0962
-
-
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Dora Melo and Vitor Nogueira and I Rodrigues, Puzzle Out the Semantic Web Search, International Journal of Computational Linguistics and Applications, Vol. 3, No. 1, Pag. 91–106, BAHRI PUBLICATIONS, ISSN 0976-0962, June 2012.
<b><a href="/people/members/view.php?code=aafda1c8bb41c86e774c11f56e304c9c" class="author">Dora Melo</a>, <a href="/people/members/view.php?code=6ac54233bd0e32e42cf8041a556fcbb0" class="author">Vitor Nogueira</a> and I Rodrigues</b>, <u>Puzzle Out the Semantic Web Search</u>, International Journal of Computational Linguistics and Applications, Vol. 3, No. 1, Pag. 91–106, BAHRI PUBLICATIONS, ISSN 0976-0962, June 2012.
@article {dorad, author = {Dora Melo and Vitor Nogueira and I Rodrigues}, title = {Puzzle Out the Semantic Web Search}, journal = {International Journal of Computational Linguistics and Applications}, publisher = {BAHRI PUBLICATIONS}, volume = {3}, number = {1}, pages = {91–106}, issn = {0976-0962}, abstract = {In this paper 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 consult- ing 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 ac- cording to their semantic meaning, providing a more cooperative answer to the user.}, month = {June}, year = {2012}, }
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