A Framework for Information Retrieval Based on Fuzzy Relations and Multiple Ontologies

Authors:
Maria Angelica Leite;Ivan L. Ricarte
Affiliations:
Embrapa Agriculture Informatics, Campinas, Brazil ZIP: 13083-970 and School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil Postal Code: 13083-970;School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil Postal Code: 13083-970
Venue:
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Year:
2008

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Abstract

The use of knowledge in the information retrieval process allows the return of documents semantically related to the initial user's query. This knowledge can be encoded in a knowledge base to be used in information retrieval systems. The framework for information retrieval based on fuzzy relations and multiple ontologies is a proposal to retrieve information using a knowledge base composed of multiple related ontologies whose relationships are expressed as fuzzy relations. Using this knowledge organization a new method to expand the user query is proposed. The framework provides a way that each ontology can be represented independently as well as their relationships. The proposed framework performance is compared with another fuzzy-based approach for information retrieval. Also the query expansion method is tested with the Apache Lucene search engine. In both cases the proposed framework improves the obtained results.