Hi,
I think one problem of the existing method is that, to query on the RDF
files or similar structures, we have to form SQL like queries. However, for
searching in the text files, we only need to type several keywords. Can we
combine the two methods and how can we combine the two methods. For
Hi,
I have done some surveys about the information retrieval on the Semantic
Web, (maybe i miss many papers, most papers i used are published in recent
WWW and CIKM conferences, :).
1. A typical way of using the ontology is to select exact term from the
domain ontology to form queries. The first
Hi Mathias,
Can you give more details? Is your application for text + ontology, or
ontology only?
regards
jiang xing
On 1/19/06, Mathias Lux [EMAIL PROTECTED] wrote:
Hi!
(1) I'm working on a similar problem, but based on MPEG-7 Semantic
Description Graphs. I've already a prototype for
of the ontology best?
The selection of concepts / classes / node types (whatever :) depends on
the use case.
hope this helps a bit,
mathias
-Ursprüngliche Nachricht-
Von: xing jiang [mailto:[EMAIL PROTECTED]
Gesendet: Donnerstag, 19. Jänner 2006 12:14
An: java-user@lucene.apache.org
On 1/19/06, Mathias Lux [EMAIL PROTECTED] wrote:
-Ursprüngliche Nachricht-
Von: xing jiang [mailto:[EMAIL PROTECTED]
Gesendet: Donnerstag, 19. Jänner 2006 13:11
An: java-user@lucene.apache.org
Betreff: Re: Use the lucene for searching in the Semantic Web.
Hi,
I am
On 1/19/06, Mathias Lux [EMAIL PROTECTED] wrote:
Actually, my problem is that, for instance, for a document d,
Its feature
vector may be keywords and concepts. I don't know how to
weight the two
items. Right now, i used a stupid method, given a document d,
i can obtain a
rank D
On 1/20/06, Klaus [EMAIL PROTECTED] wrote:
Hi,
Actually, my problem is that, for instance, for a document d, Its feature
vector may be keywords and concepts.
What do you exactly mean by features vector? You are referring to the
predicate - object pairs, connected to one subject node, don't
Hi,
I want to know how the lucene normalizes the score. I see hits class has
this function to get each document's score. But i dont know how lucene
calculates the normalized score and in the Lucene in action, it only said
normalized score of the nth top scoring docuemnts.
--
Regards
Jiang Xing
/ topDocs.getMaxScore();
}
int end = scoreDocs.length length ? scoreDocs.length : length;
for (int i = hitDocs.size(); i end; i++) {
hitDocs.addElement(new HitDoc(scoreDocs[i].score * scoreNorm,
scoreDocs[i].doc));
}
On 1/27/06, xing jiang
I think you should build a type of domain specific dictionary first. You
should say, for instance, automobile = car. This approach can satisfy your
requirement.
On 1/30/06, Leon Chaddock [EMAIL PROTECTED] wrote:
Hi,
Does anyone know if it is possible to show related searches with lucene,
for
Hi, I got a question of doing the related search.
For instance, if I want to say Support Vector Machine == SVM. Then, How
can i use this information when retrieve documents. I dont think it can be
added in the Synonym Filter.
On 2/1/06, Dave Kor [EMAIL PROTECTED] wrote:
On 1/30/06, Leon
Hi,
I got two problems of lucene.
1. How does the lucene calculate each term's weight in the query? Is it a
simple boolean value?
2. Can i change the similarity measure in the lucene? For instance, i only
use the term frequence instead of the tf/idf value to give weight to each
term in the
Hi,
I got two problems of using the lucene and may need your help.
1. For each word, how the lucene calculate its weight. I only know for each
work in the document will be weighed by its tf/idf values.
2. Can I modify the lucene so that i use the term frequency instead of
tf/idf value to
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