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A Knowledge Engineering and Planning Framework based on OWL Ontologies

A Knowledge Engineering and Planning Framework based on OWL Ontologies

Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ranganathan, Anton Riabov IBM T.J. Watson Research Center, Hawthorne, NY, USA

In this paper, we describe a domain-independent,general purpose knowledge engineering and planning framework that supports the construction of planningdomains and problems based on OWL ontologies, and the integration of the planning process with description logic (DL) reasoning. The use of OWL ontologies as a basis for modeling domains allows the reuse of existing knowledge in the Semantic Web. In this model, the state of the world is represented as a set of OWL facts, represented as an RDF graph. Actions are described as RDF graph transformations. Planning goals are described as RDF graph patterns. Our framework allows a number of developers to create and extend the OWL ontologies and the planning domain in a collaborative manner. We have used our framework for automatically constructing workflows for deployment in stream processing systems.

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