The general approach I have with these is:
- get a query- expand each terms of the query with the fuzzification of semantic- vectors (e.g. if requested for termA, add termB and termC with their semantic-distance as a boost factor) - run query get results with higher rank for termA if found, then for termB and termC
My student Dominik Jednoralski has written a bachelor thesis on that. I'll forward the request to send you this. Join the semanticVectors' list where the original author also talks. paul Le 18-mars-09 à 08:34, nitin gopi a écrit :
hi Paul, I am new to this field of search engine. My aim is to develop a semantic search engine. Initially I was trying to develop that by using LSI. But since it is patented that is why there are no many implementation attempts. I want to ask is it possible to create a search engine using lucene and semantic vector which is semantically better than lucene? On 3/18/09, Paul Libbrecht <p...@activemath.org> wrote:Nitin, LSI is patented so it's not been a flurry of implementation attempts. However, SemanticVectors is a library that does similar approaches to LSA/LSI for indexing and is based on Lucene's term-vectors. paul Le 18-mars-09 à 07:09, nitin gopi a écrit :hi all , has any body tried to use LSI(latent semantic indexing) for indexing in lucene?--------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
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