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What are the approaches to concept search?

　　Concept search is a search which attempts to conceptually match results with the query, not necessarily with those words, rather their concept.

　　In general, information retrieval research and technology can be divided into two broad categories: semantic and statistical. Information retrieval systems that fall into the semantic category will attempt to implement some degree of syntactic and semantic analysis of the natural language text that a human user would provide (also see computational linguistics). Systems that fall into the statistical category will find results based on statistical measures of how closely they match the query. It must be noted, however, that systems in the semantic category also often rely on statistical methods to help them find and retrieve information.[3]

　　Efforts to provide information retrieval systems with semantic processing capabilities have basically used three different approaches:

　　Auxiliary structures

　　Local co-occurrence statistics

　　Transform techniques (particularly matrix decompositions)