now. i have a second thought about one meah term per document. the scoring
formula(hits too) is based on document, right? does it mean that we
shouldn't have more than one document for each object indexed?
for example, i try to index a publication, for some of the information,
like title, abstract i would like to store and index them using default
similarity, while the other information i would like to use customized
similarity. i probably should use a different indexing directory and writer
instead of two documents in the same index, right?
thank you for helping me. you could see that i am in the early learning
stage now.
xin
----- Original Message -----
From: "Zhao, Xin" <[EMAIL PROTECTED]>
To: <[email protected]>
Sent: Friday, August 25, 2006 10:21 AM
Subject: Re: controlled vocabulary
Hi,
Thank you for your reply. I had thought about the first two solutions
before. If we apply one doc for each MeSH term, it would be 26 docs for
each item digested(we actually need the top 25 MeSH terms generated),
would it be any problem if there are too many documents? If we apply field
name like "mesh_1", "mesh_2"..., when it comes to search, we will have to
generate a loop for each single one of the query terms( there will be more
than 20-30 terms on average, since we are using sematic web to implement
concept search), do you think it would affect the performance in a very
bad way?
Regards,
Xin
----- Original Message -----
From: "Dedian Guo" <[EMAIL PROTECTED]>
To: <[email protected]>; "Zhao, Xin" <[EMAIL PROTECTED]>
Sent: Thursday, August 24, 2006 4:22 PM
Subject: Re: controlled library
in my solution, you can apply one doc for each mesh term, or apply
different
keyword such as "mesh_1"...."mesh_10" for your top 10 terms...or u can
group
your mesh terms as one string then add into a field, which requires a
simple
string parser for the group string when you wanna read the terms...
not sure if that works or answers your question...
On 8/24/06, Zhao, Xin <[EMAIL PROTECTED]> wrote:
Hi,
I have a design question. Here is what we try to do for indexing:
We designed an indexing tool to generate standard MeSH terms from
medical
citations, and then use Lucene to save the terms and citations for
future
search. The information we need to save are:
a) the exact mesh terms (top 10)
b) the score for each term
so the codings are like
-----------------------------------
for the top 10 MeSH Terms
myField=Field.Keyword("mesh", mesh.toLowerCase());
myField.setBoost(score);
doc.add(myFiled);
end for
------------------------------------
as you could see we generate all the terms under named field "mesh". If
I
understand correctly, all the fields under the same name would
eventually save into one field, with all the scores be normalized into
filed boost. In this case, we wouldn't be able to save separate score,
so
the information is lost. Am I correct? Is there anyway we could change
it? I
understand Lucene is for keyword search, and what we try to do is
Controlled
Vocabulary search, Any other tool we could use?
Thank you,
Xin
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