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 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 one may be the OntoSeek (
www.loa-cnr.it/Papers/OntoSeek.pdf ). Similar work may be Latifur
Khan's
work ("Retrieval effectiveness of an ontology-based model for
information
selection", VLDB 2004).
2. Guha et al. ("Semantic Search", WWW2003) used domain ontology to
form a
concept graph. Then, users only need to browse the concept graph
egenerated.
Similar work may be Eero Hyvonen's work "MuseumFinland". They all
used the
semantic structure of the domain ontology to help users browsing.
3. QuizRDF (www.cs.rutgers.edu/~shklar/www11/final_submissions/
paper6.pdf) used
another kind of method for using the domain ontology. Klaus, I
think your
method should be better than QuizRDF.
One interesting method i found is Roha's work ("A hybrid approach for
searching in the Semantic Web", WWW2004). They still used keyword
based
method for retrieving documents on the Semantic Web. But i cannot
find any
more information about their work and the application i am building
can be
seen an extension of their work.
Actually, the swoogle focuses on the ontology level's files only.
It will
crawls RDF, OWL & DAML files. But they do not provide any new
method to
combine the traditional keyword method for searching the text
files. Li Ding
used a variant of page rank method for ontology files. But i am not
sure
this method can be combined with the page rank method.
Maybe i have missed too many things when i do this survey. However,
I think
we may can find some good new methods of using the domain ontology
in the
Semantic Web.
Yours truly,
Jiang Xing
On 1/19/06, Klaus <[EMAIL PROTECTED]> wrote:
Hello,
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
instance, i only need to enter some keywords.
Yes you are right. At the moment I offer the users a UI where the can
input
some keywords and in addition to this some rql like query via drop
down
menus. With the help of the this semantic query, they can specify the
results demarcate the result set, e.g. saying that all result's
should
belong to one class, or deal with one theme.
Now I try automate the generation of the query... But I'm not sure
how to
do
this exactly. Maybe I will use some kind of pseudo relevance
feedback to
make some semantic analysis an the first result set.
Why do we have to learn some SQL like language for
searching in the Semantic Web.
Maybe this paper can help you... Primary the semantic web is for
agents
and
so on, not for humans. So the information has to have a structure,
which
can
be exploited.
http://www.sciam.com/article.cfm?
articleID=00048144-10D2-1C70-84A9809EC588EF
21
By the way, maybe you should take a look at http://
swoogle.umbc.edu/ There
is also quite a big number of papers an scholar.google.
Do your have any ideas, right now?
Peace
Klaus
--
Regards
Jiang Xing
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