Hi!
(1) I'm working on a similar problem, but based on MPEG-7 Semantic
Description Graphs. I've already a prototype for pakth based matching
within Lucene integrated in my sf project Caliph Emir
(http://caliph-emir.sf.net). I've already adapted the approach to an
ontology, which had to be
For some semweb + full-text searching real-world examples, also look
to the SIMILE project - http://simile.mit.edu/
They have integrated Lucene into PiggyBank and Longwell.
Erik
On Jan 18, 2006, at 9:30 PM, xing jiang wrote:
Hi,
I have done some surveys about the information
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
Its for both, onto + contents (Word, Pdf, PPT, all time the same candidates).
The main disadvantage of this approach is that main nodes in the ontology
have to be defined.
Imagine following use case:
An ontology describes a companies content and knowledge management system.
Persons,
Hi,
I am not sure whether my understanding is correct.
In your application, A concept document first should be defined as a class
in the ontology? Then, each document is an instance of this class. It uses
its contents as its features. Also, the related concepts will be added into
the feature
-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 not sure whether my understanding is correct.
In your
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 not
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 based on keyword method. Also, it is annotated with a
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
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 you?
I don't know how to weight the two
items.
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
Presumably because this is the way of formulating an inductive statement.
Just entering key words doesn't introduce the notion of a relationship
between some known and some other unknown terms.
Queries match graph patterns against the target graph of the query.
From
On Jan 17, 2006, at 12:25 PM, jason wrote:
I think the Kowari is a system for searching information in the RDF
files.
It is only for finding information in the meta data files. However,
i think
one problem of the Semantic Web is that, if we have a document and
its RDF
annotate, how do we
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 friends,
How do you think use the lucene for searching in the Semantic Web? I am
trying using the lucene for searching documents with ontological annotation.
But i do not get a better model to combine the keywords information and the
ontological information.
regards
jiang xing
hi Erik,
thx for your reply.
I think the Kowari is a system for searching information in the RDF files.
It is only for finding information in the meta data files. However, i think
one problem of the Semantic Web is that, if we have a document and its RDF
annotate, how do we retrieve the
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
17 matches
Mail list logo
