how much data are you talking about here? Could you use a KeywordAnalyzer
(perhaps in a duplicated field) with appropriate filtering (to lowercase,
remove
punctuation, etc)?
Best
Erick
On Wed, May 6, 2009 at 4:50 AM, Laura Hollink <lau...@cs.vu.nl> wrote:
> Hi,
>
> I am trying to distinguish between a document that matches the query
> because the query *appears* in one of the fields, and a document that
> matches the query because the query equals the complete field. I do want to
> use an Analyzer for case- and punctuation normalization. For example:
>
> The query "bloemendaal" matches the complete field "Bloemendaal" in a
> document in my result list.
> The query "adele" only partly matches the field "Adele Bloemendaal" in
> another document.
>
> What is the best way to do this?
> I currently solve it by first searching in a normal way, and than using the
> QueryParser on both the query and the relevant field in the documents in my
> result list. Finally, I simply compare the parsed query and the parsed
> field.
>
> QueryParser parser = new QueryParser(field,new StandardAnalyzer());
> Query query = parser.parse(q);
> Hits hits = is.search(query);
> ...
> Document doc = hits.doc(i);
> Query myfield = parser.parse(doc.get("skos:prefLabel"));
> if(myfield.equals(query)) System.out.println("Query exactly matches
> the entire field.");
> else System.out.println("The field contains the query.");
>
> Is there a better way?
>
> Thanks,
> Laura
>
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