Hi,

On Wed, Mar 18, 2009 at 8:59 AM, Paul Libbrecht <p...@activemath.org> wrote:
> Depending on your corpus, a semantic vector enabled search engine definitely
> is more semantic than one without.
>
> 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.
If it is possible could you post a link where everybody can reach the
thesis of your student?
I guess it could be interesting for a couple of people on this list
and a benefit for your student as well.

simon
>
> 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?
>>>
>>>
>>
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>
>

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