Original scientific paper

A DOCUMENT RETRIEVAL METHOD BASED ON ONTOLOGY ASSOCIATIONS

Jan Paralič orcid.org/0000-0002-4603-0411 ; Department of Cybernetics and AI, Technical University of Kosice, Kosice, Slovakia
Ivan Kostial ; Department of Cybernetics and AI, Technical University of Kosice, Kosice, Slovakia

Abstract

In this paper a new, ontology-based approach to information retrieval (IR) is presented. The system is based on a domain knowledge representation schema in form of ontology. New resources registered within the Webocrat system are linked to concepts from this ontology. In such a way resources may be retrieved based on the associations and not only based on partial or exact term matching as the use of vector model presumes. In order to evaluate the quality of this retrieval mechanism, experiments to measure retrieval efficiency have been performed with well-known Cystic Fibrosis collection of medical scientific papers. The ontology-based retrieval mechanism has been compared with traditional full text search based on vector IR model as well as with the Latent Semantic Indexing method.

Keywords

information retrieval; document retrieval; ontology-based retrieval; vector representation; latent semantic indexing

Hrčak ID:

78418

URI

https://hrcak.srce.hr/78418

Publication date:

12.12.2003.

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