A Semantic-Based Navigation Approach for Information Retrieval in the Semantic Web

Authors:
Mourad Ouziri
Affiliations:
Centre de Recherche en Informatique de Paris 5, Paris Descartes University, France
Venue:
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Year:
2007

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Abstract

Information retrieval in the Web needs more efficient way than traditional approaches. That is, traditional information retrieval approaches are not accurate because they consider only the syntactical level when processing Web resources. So, more conceptual approaches are needed to increase accuracy of information retrieval. In the next generation of the Web, namely the semantic Web, the challenge of information retrieval approaches is to design automatic programs that are able to understand and process semantics of Web resources. Therefore, semantics needs to be clearly formalized and processed by programs. In this chapter, we use a knowledge representation formalism to represent the semantics of Web resources and then to perform semantic navigation. The knowledge representation formalism is used to design a semantic index of the Web resources. Generally, it references a huge amount of Web resources. So we present an efficient navigation strategy of this index to make more accurate information retrieval.