1 Workshop Topic and Goals
The Semantic Web Mining
workshop is a follow-up to last year's workshop at ECML/PKDD, the first workshop
on that topic at a large international conference. Our intention to bring together
researchers and practitioners from the two fast-developing research areas Semantic
Web and Web Mining has resulted in a very successful workshop.
The goal of this year's workshop is to continue and extend this sucessful start.
The idea of Semantic Web Mining
is to improve the results of Web Mining by exploiting the new semantic structures
in the web, as well as to use Web Mining to help build the Semantic Web. The
Semantic Web is based on a vision of Tim Berners-Lee. He suggests to
enrich the web by machine processable information which is organized on different
levels (see http://www.w3.org/DesignIssues/Semantic.html).
For Web Mining, the levels from XML and RDF to ontologies and logics are of
Web Mining applies data
mining techniques on the web. Three areas can be distinguished: Web usage mining
analyzes user behavior, Web structure mining explores hyperlink structure, and
Web content mining exploits the contents of the documents in the Web.
In the workshop, we want to discuss
the use of XML, RDF, ontologies, and logics for the three web mining areas;
and the support of web mining techniques for building (XML and RDF) schemes
and ontologies. Recent advances in Web site design that pay increasing attention
to the need for a clear semantic structure underlying the information architecture
of a site, have prepared the ground for both broader and deeper applications
of semantic mining technologies. Similarly, new developments in mining such
as the increasing analysis of usage information for personalising Web sites,
pose new challenges for semantic encodings of Web resources.
There are quite a number of people
from different communities that approach the field of Semantic Web Mining from
different, interesting angles. The goal of the workshop is to establish and
enhance communiction between these communities.