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From "Frank Burough" <fburo...@elixirpharm.com>
Subject RE: String similarity search vs. typcial IR application...
Date Fri, 06 Jun 2003 12:43:03 GMT
I have seen some interesting work done on storing DNA sequence as a set of common patterns
with unique sequence between them. If one uses an analyzer to break sequence into its set
of patterns and unique sequence then Lucene could be used to search for exact pattern matches.
I know of only one sequence search tool that was based on this approach. I don't know if it
ever left the lab and made it into the mainstream. If I have time I will explore this a bit.

Frank Burough



> -----Original Message-----
> From: Leo Galambos [mailto:Leo.G@seznam.cz] 
> Sent: Thursday, June 05, 2003 5:55 PM
> To: Lucene Users List
> Subject: Re: String similarity search vs. typcial IR application...
> 
> 
> AFAIK Lucene is not able to look DNA strings up effectively. 
> You would 
> use DASG+Lev (see my previous post - 05/30/2003 1916CEST).
> 
> -g-
> 
> Jim Hargrave wrote:
> 
> >Our application is a string similarity searcher where the 
> query is an 
> >input string and we want to find all "fuzzy" variants of the 
> input string in the DB.  The Score is basically dice's 
> coefficient: 2C/Q+D, where C is the number of terms (n-grams) 
> in common, Q is the number of unique query terms and D is the 
> number of unique document terms. Our documents will be sentences.
> > 
> >I know Lucene has a fuzzy search capability - but I assume 
> this would 
> >be very slow since it must search through the entire term 
> list to find candidates.
> > 
> >In order to do the calculation I will need to have 'C' - the 
> number of 
> >terms in common between query and document. Is there an API 
> that I can call to get this info? Any hints on what it will 
> take to modify Lucene to handle these kinds of queries?
> >  
> >
> 
> 
> 
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