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Concept-based Information Retrieval

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Interesting article worth reading if this kind of stuff lights your fire...

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Mining a Large-Scale Term-Concept Network from Wikipedia

Social tagging and information retrieval are challenged by the fact
that the same item or idea can be expressed by different terms or words. To
counteract the problem of variable terminology, researchers have proposed
concept-based information retrieval. To date, however, most concept spaces
have been either manually-produced taxonomies or special-purpose ontologies,
too small for classifying arbitrary resources. To create a large set of concepts,
and to facilitate terms to concept mapping, we introduce mine a network of
concepts and terms from Wikipedia. Our algorithm results in a robust,
extensible term-concept network for tagging and information retrieval,
containing over 2,000,000 concepts with mappings to over 3,000,000 unique
terms.

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