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| A Semantic Query Extension Method for Enterprise Information Retrieval |
| Geng Shuang, Yang Chen, Niu Ben, Yi Wenjie, and Liu |
| College of Management, Shenzhen University, Shenzhen 518060 |
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Abstract Conventional information retrieval methods usually attain relatively low accuracy in obtaining inner enterprise information retrieval solutions. This is partially because of the limited amount of training data available. To overcome these difficulties, this study proposed a query expansion approach based on enterprise knowledge domain categories and semantic relevance. The proposed method first makes use of a topic model and the expertise of professionals to create enterprise knowledge domain categories with weighted description terms, then classifies queries using semantic similarity into knowledge domain categories and selects terms for expansion from category description terms. This research used an electronic manufacturing company as case for experimental study. The experiment s results proved that the query expansion method effectively improves the enterprise information retrieval accuracy.
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Received: 09 January 2018
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