>The feature vector may be bigger than the object-predicate pairs. In my
>application, each document may be annotated with several concepts to say
>this document contains an instance of a class.
How do you do that? I have to reengineer the ontology in my application, but
I'm not sure how to express
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
>ite
> 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 wit
> -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.
>
>
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, hierarc
Hi Jiang,
I'm currently facing a similar problem. Up to now I have to use for the
semantic query a graph matching algorithm, but the fulltext search in the
semantic web is performed by lucene.
At first I wrote the whole text into a one index. The document contains one
field for the unique id and
