Authors:
Dora Melo
1
;
Irene Pimenta Rodrigues
2
and
Vitor Beires Nogueira
2
Affiliations:
1
Instituto Politécnico de Coimbra and CENTRIA, Portugal
;
2
Universidade de Évora and CENTRIA, Portugal
Keyword(s):
Natural language, Ontology, Question answering, Semantic web.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Intelligent Information Systems
;
KM Strategies and Implementations
;
Knowledge Management and Information Sharing
;
Knowledge Management Projects
;
Knowledge-Based Systems
;
Symbolic Systems
;
Tools and Technology for Knowledge Management
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 Semantic 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.