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Refereed Papers
Track: Semantic Web III
Paper Title:
Querying for Meta Knowledge
Authors:
- Bernhard Schueler(University of Koblenz-Landau)
- Sergej Sizov(University of Koblenz-Landau)
- Steffen Staab(University of Koblenz-Landau)
- Duc Thanh Tran(University of Karlsruhe)
Abstract:
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.
In this paper, we present 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 original query. Thus, our
approach achieves highly flexible and automatically coordinated
querying for data and meta knowledge, while completely separating
the two areas of concern.
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