Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Annotating the semantic web using natural language
NLPXML '02 Proceedings of the 2nd workshop on NLP and XML - Volume 17
Engineering new paths to water data
Computers & Geosciences
Terminology Extraction from Log Files
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Semantic Query Expansion using Cluster Based Domain Ontologies
International Journal of Information Retrieval Research
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Knowledge based approaches to text information retrieval are aimed at increasing the precision of retrieval. In this paper we show that query enhancement through the use of domain ontological structures can enhance the quality of retrieval to a large extent. We have presented a formal framework for extending user queries with domain ontological structures. The query-expansion mechanism has been implemented as a client-side query processor which can use any efficient search engine like Google or Alta Vista at the back end. The approach offers substantial performance gains. We have established the effectiveness of the approach experimentally through the use of single and multiple ontologies.