A method of rough ontology-based information retrieval

Ontology-based information retrieval is an effective approach to achieve knowledge retrieval. For retrieving more efficiently in the uncertain information space, a method of rough ontology-based information retrieval is proposed. Given a query keyword, the method can compute individuals and query properties by a search procedure, and construct approximation space in ontology information system by equivalence relation. Afterward, approximation space is employed to compute similarity for ranking between individual set and document set. Compared with other query methods, experiment results show that the method performs better.