This seems kind of kludgy, but that may just mean I don't understand
your problem very well.

What is it that you're trying to accomplish? Searching constrained
by topic or groups?

If you're trying to search by groups, search the archive for the
word "facet" or "faceted search".

Otherwise, could you describe what behavior you're after and maybe
there'd be more ideas....

Best
Erick

On 5/19/07, Peter Bloem <[EMAIL PROTECTED]> wrote:

Hi,

I have the following problem. I'm indexing documents that belong to some
collection (ie. the dataset is divided into collections, which are
divided into documents). These documents become my lucene documents,
with some relatively small string that becomes the field I want to
search. However, I would also like to add to document d the
concatenation of all documents in d's collection as a field (mainly as a
smoothing technique, because documents correspond roughly to topics).
I'm currently doing just that, adding an extra field for the entire
concatenated collection to each document in that collection. Of course
this increases the index size and indexing time greatly (about five-fold).

There must be a better way to do this. My idea was to create a second
index where the collections are indexed as (lucene) documents. This
index would have the text as a field, and a list of document id's
referring back to the main index. I could then retrieve the term vector
for each collection from this second index for each search result from
the original index.

My question is if this is a smart approach. And if it is, which of
Lucene's classes should I use for this. The best I could find was the
FilterIndexReader. If extending the FilterIndexReader is really the best
way to go, could I simply override the document(int, FieldSelector)
method, or is there more to it? I doubt I'm the first person that's ever
wanted a many to one relation between fields and documents, so I hope
there's a simpler way about this.

Thank you,
Peter

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