The Semantic Web is based on accessing and reusing RDF data from
many different sources, which one may assign different levels of
authority and credibility. Existing Semantic Web query languages,
like SPARQL, have targeted the retrieval, combination and reuse of
facts, but have so far ignored all aspects of meta knowledge, such
as origins, authorship, recency or certainty of data, to name but a
few.
We propose an original, generic, formalized and
implemented approach for managing many dimensions of meta knowledge,
like source, authorship, certainty and others. The approach re-uses
existing RDF modeling possibilities in order to represent meta
knowledge. Then, it extends SPARQL query processing in such a way
that given a SPARQL query for data, one may request meta knowledge
without modifying the query proper. Thus, our approach achieves
highly flexible and automatically coordinated querying for data and
meta knowledge, while completely separating the two areas of
concern.
Resources
Technical report, University of Koblenz-Landau, 2008
(containing proofs for Querying for Meta Knowledge)
Prototype implementation
Detailed information about installation, usage and the data consumed and produced
ist contained in the enclosed file Readme.txt.
Querying for Meta Knowledge
Bernhard Schueler, Sergej Sizov, Steffen Staab, and Thanh Tran Duc
17th International World Wide Web Conference (WWW), Bejing, China, 2008.
Management of Meta Knowledge for RDF Repositories
Bernhard Schueler, Sergej Sizov, and Steffen Staab
1st IEEE International Conference on Semantic Computing (ICSC). Irvine, California, 2007.
What makes you think that? Towards the Proof Layer for Semantic Web
Sergej Sizov
IEEE Journal on Intelligent Systems 22(6),
pp. 94-99, 2007
Bernhard Schüler
Dr.Dr. Sergej Sizov
Prof. Dr. Steffen Staab
This work was funded by the X-Media project sponsored by the European Commission as part of the Information Society Technologies (IST) programme under EC grant number IST-FP6-026978.
See also: X-Media@ISWeb
