Discovering the Semantics of User Keywords

A poster presentation written by Jorge Gracia, Mauricio Espinoza, Raquel Trillo and Eduardo Mena. It was presented at the ESWC2007. It is about Querying the Semantic Web and Ontology Alignment

[edit] Abstract

Although Web search technologies have been improved in recent years, many times users do not obtain the information they seek as traditional web search engines do not consider the semantic context of user keywords. The increasing pools of ontologies available on the Web can help to discover the semantics of user keywords and to build the necessary context in order to obtain more relevant results.

In this paper we propose a system that takes as input a list of keywords provided by the user and discovers their possible meanings by consulting the knowledge represented by many (heterogeneous and distributed) ontologies. These keyword senses are semantically enriched with the synonym terms found during the ontology matching process: A synonymy measure based on statistics techniques and ontological similarity is used to integrate senses that are similar enough. Our experiments indicate that our system behaves better than traditional web search engines in providing the possible senses for the user keywords when their semantics is not the most popular on the Web.

This data has been imported from the ESWC2007 RDF