Ontology based Information Retrieval System for ETDs in Vidyanidhi Digital Library

Metadata

Title

Ontology based Information Retrieval System for ETDs in Vidyanidhi Digital Library

Author
Description

Poster: In this poster, we present a description of an Ontology based Information Retrieval System that was designed for enhancing the search experience for ETDs in the Vidyanidhi Digital Library Collection in the domain of Agriculture. Deviating from the regular approach of developing ontologies on the basis of domain knowledge, the present poster demonstrates a novel method for developing ontologies from the semantic information available in the titles of digital documents ETDs. The keywords from the title were selected; classes and subclasses to which these keywords belonged were defined using handbooks and subject classification systems. The ontology was implemented in the OWL Web Ontology Language using the Protégé-OWL editor and the ontology was mapped with AGROVOC thesaurus of the Food and Agriculture Organization of the United Nations (FAO). The knowledge structures obtained above evolved into Description Logics based knowledge representation (KR) formalisms Description Logics based reasoners are employed for drawing inferences from the knowledge representation derived above. We used Pellet, a capable OWL-DL reasoner for deriving inferences.

Date

2008