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metaK - Meta Knowledge in Semantic Web Applications

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About the Framework "metaK"

Querying with meta knowledge in RDF

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.

 

Reasoning with meta knowledge in OWL

For many tasks, such as the integration of knowledge bases in the
Semantic Web, one must not only handle the knowledge itself, but also meta
knowledge, e.g.: (i) where did a knowledge item come from (i.e. provenance),
(ii) what level of trust can be assigned to a knowledge item, or (iii) what degree
of certainty is associated with it. Approaches for providing meta knowledge for
query answers in relational databases and RDF repositories exist. However, as
query answering in logical formalisms in general does not boil down to algebraic
evaluation of query models, these formalizations do not easily carry over to
e.g. OWL-2. In this paper we propose a formalization of meta knowledge, which
allows for the computation of meta knowledge based on pinpointing, including
reasoning with conflicting and incomplete meta knowledge. We propose a blackbox algorithm for optimized reasoning with meta knowledge, which performs
significantly better than existing general pinpointing algorithms and makes it usable in interactive scenarios. We believe our approach is applicable as a building block of the Semantic Web Trust and Proof Layer.


Resources


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Prototype implementation

Detailed information about installation, usage and the data consumed and produced ist contained in the enclosed file Readme.txt.

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Prototype implementation

Prototype implementation for reasoning with meta knowldge in OWL.

Detailed information about installation, usage and the data consumed and produced ist contained in the enclosed file Readme.txt.

Publications

 

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Using Provenance to Debug Changing Ontologies.
Simon Schenk, Renata Dividino , Steffen Staab.  Using Provenance to Debug Changing Ontologies. In: Journal on Web Semantics, 2011.


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Reasoning With Provenance, Trust and all that other Meta Knowlege in OWL.
Simon Schenk, Renata Dividino , Steffen Staab.  In: International Semantic Web Conference 2008: Chantilly, VA, USA - Workshop on the role of Semantic Web in Provenance Management, 2009

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Querying for provenance, trust, uncertainty and other meta knowledge in RDF
Renata Dividino, Sergej Sizov, Steffen Staab, and Bernhard Schueler
Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 2009.  

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Provenance, Trust, Explanations - and all that other Meta Knowledge
Renata Dividino, Simon Schenk, Sergej Sizov, and Steffen Staab.
Künstliche Intelligenz, 2009.

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Querying for Meta Knowledge
Bernhard Schueler, Sergej Sizov, Steffen Staab, and Thanh Tran Duc
17th International World Wide Web Conference (WWW), Bejing, China, 2008.

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Querying for Meta Knowledge

Bernhard Schueler, Sergej Sizov, Steffen Staab, and Thanh Tran Duc
Technical report, University of Koblenz-Landau, 2007
(containing proofs for Querying for Meta Knowledge)


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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.

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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

Contact

Renata Dividino
Prof. Dr. Dr. Sergej Sizov
Prof. Dr. Steffen Staab

 

zuletzt verändert: 16.07.2012 13:16

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