Automatic query wefinement using lexical affinities with maximal information gain
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A Logic-Based Approach for Query Refinement in Ontology-Based Information Retrieval S
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Visualization Support for Interactive Query Refinement
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Automatic Query Refinement Using Mined Semantic Relations
WIRI '05 Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration
Enhancing relevance scoring with chronological term rank
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Ontology-based information extraction and information retrieval in health care domain
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Ontology-based blog collection and profile-based personalised ranking
International Journal of Computer Applications in Technology
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The effectiveness of user query plays a vital role in retrieving highly relevant documents in keyword-based search engine. Because of the lack of domain knowledge, users tend to post very short queries, which do not express their information need clearly, which reduce the precision and re-call of the search. Ontology-based automatic query refinement system has been proposed to overcome this problem in search engine. This system proposes an ontology-based automatic query refinement model for the exploitation of full-fledged domain ontology to support semantic search in keyword-based search engine. This system formulates effective query using ontology to increase the relevancy of documents retrieved.