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Information retrieval using OntoSense querying and ontological indexing

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1 Author(s)
Toma, I.-F. ; Univ. of Pitesti, Pitesti, Romania

We research ontological indexing and querying as a solution for getting better results in information retrieval, which translates in getting the most relevant documents meeting a query. While most of the research in this field focuses on query reformulation and document representation methods, we focused our research on an ontology-based query guidance system (our proposed OntoSense engine & user interface) which allows the human operator to formulate the query directly as an ontology, and an ontological indexing method, for an information retrieval system (IRS) that uses an ontology-based retrieval model. We also introduce ontology based user-defined search profiles as a new factor in the ontological ranking process.

Published in:

Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on

Date of Conference:

Nov. 30 2010-Dec. 2 2010