Hi Srinivas, Perhaps what you need here is a query formation logic which assigns the right keywords to the right fields. Let me know in case I got it wrong. One way to do that could be by using index time boost for fields and then running a query (so that a particular field is preferred over the other). As per my knowledge lucene should be a better solution that anything else that 'I know of' for such a thing, but there'd be a few things that you would have to build yourself as well.
-- Anshum Gupta Naukri Labs! http://ai-cafe.blogspot.com The facts expressed here belong to everybody, the opinions to me. The distinction is yours to draw............ On Fri, Mar 6, 2009 at 11:55 AM, Srinivas Bharghav <srini.bharg...@gmail.com > wrote: > I am trying to evaluate as to whether Lucene is the right candidate for the > problem at hand. > > Say I have 3 indexes: > > Index 1 has street names. > Index 2 has business names. > Index 3 has area names. > > All these names can be single words or a combination of words like woodward > street or marks and spencers street etc etc. > > Now the use enters a query saying "mc donalds woodward street kingston > precinct". > > I have to parse this query and come up with the best match possible. The > problem is, in the query I do not know which part is the business name or > area name or street name. Also the user may give the query in any order for > example he may give it as "kingston precinct mc donalds woodward street". > There might be spelling mistkaes in the query enterd by the user. Also he > might use road for street or lane for street and such things. I know that > Lucene is the right candidate for the synonym and spelling mistakes part > but > am a bit hazy regarding the user query parsing part as to in which index to > search what. Any help is greatly appreciated. > > Thanks, > Srini. >
