Query processing for enterprise search with Wikipedia link structure
|Query processing for enterprise search with Wikipedia link structure|
|Author(s)||Sharma N., Varma V.|
|Published in||KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval|
|Keyword(s)||Enterprise search, Information retrieval, Query expansion, Thesaurus, Wikipedia link graph (Extra: Domain specific searches, Enterprise searches, Link structure, Natural words, Query expansion, Query expansion techniques, Search results, Wikipedia, Expansion, Industry, Query processing, Thesauri, Information retrieval)|
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Query processing for enterprise search with Wikipedia link structure is a 2010 conference paper written in English by Sharma N., Varma V. and published in KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval.
We present a phrase based query expansion (QE) technique for enterprise search using a domain independent concept thesaurus constructed from Wikipedia link structure. Our approach analyzes article and category link information for deriving sets of related concepts for building up the thesaurus. In addition, we build a vocabulary set containing natural word order and usage which semantically represent concepts. We extract query-representational concepts from vocabulary set with a three layered approach. Concept Thesaurus then yields related concepts for expanding a query. Evaluation on TRECENT 2007 data shows an impressive 9 percent increase in recall for fifty queries. In addition to we also observed that our implementation improves precision at top k results by 0.7, 1, 6 and 9 percent for top 10, top 20, top 50 and top 100 search results respectively, thus demonstrating the promise that Wikipedia based thesaurus holds in domain specific search.
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