At the query time I was thinking of two queries ORed toegether. One with
user entered query and the other case insensitive query. For example:
The user query "Java Virtual machine" would be translated into
"Java Virtual machine" OR "java virtual machine".
Eventhough the user mistyped the case ("machine" instead of "Machine"),
the query would retrieve documents. I am not sure about the performance
though. Erik would be the right person to help us understand performance
constraints in doing so.
Rajesh Munavalli
> -----Original Message-----
> From: Erik Hatcher [mailto:[EMAIL PROTECTED]
> Sent: Monday, August 22, 2005 10:20 AM
> To: java-user@lucene.apache.org
> Subject: Re: Case-sensitive search
>
>
> On Aug 22, 2005, at 11:10 AM, Rajesh Munavalli wrote:
> > You could also treat the case-sensitive and case-insensitive as
> > Synonyms and index them at the same position. This would be
> helpful in
> > phrase queries.
>
> You wouldn't be able to selectively toggle between
> case-sensitive and -insensitive searching this way, though,
> so I'm not sure if there is merit in doing both cases in the
> same position or not.
>
> Erik
>
>
> >
> > Rajesh Munavalli
> >
> >
> >> -----Original Message-----
> >> From: Erik Hatcher [mailto:[EMAIL PROTECTED]
> >> Sent: Monday, August 22, 2005 10:04 AM
> >> To: java-user@lucene.apache.org
> >> Subject: Re: Case-sensitive search
> >>
> >>
> >> On Aug 22, 2005, at 10:40 AM, [EMAIL PROTECTED] wrote:
> >>
> >>> Is there any way to index as case-sensitive and then, while
> >>>
> >> searching,
> >>
> >>> making the search case-sensitive and case-insensitive using
> >>>
> >> the same
> >>
> >>> index as needed?
> >>>
> >>
> >> Not really. Terms in the index are ordered lexicographically,
> >> including case. It certainly would be possible to write
> customized
> >> Query subclasses to do this sort of thing at the expense of
> >> performance.
> >>
> >> The only techniques I'm aware of are to either build
> separate indexes
> >> or index the same information into separate fields of the same
> >> documents using different analyzers per field.
> >>
> >> Erik
> >>
> >>
> >>
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> >>
> >
> >
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