Puzzle out the semantic web search

• Author(s): Melo, Dora ; Rodrigues, Irene ; Nogueira, Vitor
• Date: 2012
• Persistent ID: http://hdl.handle.net/10174/6111
• Origin: Repositório Científico da Universidade de Évora
• Subject(s): Natural Language; Ontology; Question Answering; Semantic Web
• Document Type: Article
• Language: Portuguese
• Editor(s): Gelbukh, Alexander F.

Description

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 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 answer to the user.