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Workshop Description
The developments of the fields of Semantic Web and Ontologies
have reached a level of maturity where the relationship with the field
of databases is becoming of paramount importance.
This year the organizers of SWDB and ODBIS Workshops have decided
to joint their efforts in order to integrate one step further these
important areas of research.
The objective of the workshop is to present databases and information
systems research as they relate to ontologies and semantic web, and more
broadly, to
gain insight into the semantic web and ontologies as they relate to
databases
and information systems. It is meant to cover foundations,
methodologies and
applications of these fields for Databases and Information Systems.
Aims and Scope
Semantic Web:
The Semantic Web is a key initiative being promoted by the
World Wide Web Consortium (W3C) as the next generation
of the current web. Technically it is grounded on the notion
of machine-understandable metadata, which will permit
to partly automatize the semantic processing of data on the Web.
In fact, metadata on the Web is becoming pervasive.
Managinng and querying such voluminous
amount of data is one of the main challenges of the Semantic Web,
and a key step towards the realization of it.
The W3C has defined standards for metadata formats and semantic
descriptions on the Web. Currently query languages are being
standardized. Today, more than ever, database techniques are
esential to solve the challenges posed by these developments.
To help in this development is one of the main goals of this Workshop.
Ontologies:
Ontologies serve as a means for establishing a conceptually concise
basis for communicating knowledge in any context. Ontologies can be
very useful for a community as a way of structuring and defining the
meaning of the metadata terms that are currently collected and
standardized.
A key point in databases is the ability to make data available
semantically, that is, to find an automated and meaningful way of
expressing their structure and semantics.
Indeed schemas as sets of rules represent
complex agreements made by designers with domain experts about data
and so constitute a potentially valuable basic resource for eliciting
ontologies. Ontologies may be useful too for conducting
extraction in Data Mining tasks for discovering patterns, interpreting
rules or conceptual clustering. For instance, ontologies can be used
to build an information model which allows the exploration of the
information space in terms of the items which are represented, the
associations between the items, the properties of the items, and the
links to documentation which describes and defines them. Furthermore
ontologies can be used to provide semantic annotations for collections
of images, audio or other non-textual objects.
Selected papers will be published in an LNCS volume.
Previous Related Workshops
The
Workshop Series on Semantic Web and Databases - (SWDB),
which includes:
SWDB 2006
SWDB 2004
SWDB 2003
AND
The Workshop Series on Ontologies Based techniques for Databases and Information Systems (ODBIS),
which includes:
ODBIS 2005
ODBIS 2006
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