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Towards Ontology-Mediated Planning with OWL DL Ontologies (Extended Version)

Research output: Working paper / PreprintPreprintAcademic

Abstract

While classical planning languages make the closed-domain and closed-world assumption, there have been various approaches to extend those with DL reasoning, which is then interpreted under the usual open-world semantics. Current approaches for planning with DL ontologies integrate the DL directly into the planning language, and practical approaches have been developed based on first-order rewritings or rewritings into datalog. We present here a new approach in which the planning specification and ontology are kept separate, and are linked together using an interface. This allows planning experts to work in a familiar formalism, while existing ontologies can be easily integrated and extended by ontology experts. Our approach for planning with those ontology-mediated planning problems is optimized for cases with comparatively small domains, and supports the whole OWL DL fragment. The idea is to rewrite the ontology-mediated planning problem into a classical planning problem to be processed by existing planning tools. Different to other approaches, our rewriting is data-dependent. A first experimental evaluation of our approach shows the potential and limitations of this approach.
Original languageEnglish
DOIs
Publication statusPublished - 16 Aug 2023

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  • Towards Ontology-Mediated Planning with OWL DL Ontologies

    John, T. & Koopmann, P., 2023, DL 2023 Description Logistics 2023: Proceedings of the 36th International Workshop on Description Logics (DL 2023) co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning (KR 2023 and NMR 2023). Rhodes, Greece, September 2-4, 2023. Kutz, O., Lutz, C. & Ozaki, A. (eds.). CEUR Workshop Proceedings, p. 1-14 14 p. (CEUR Workshop Proceedings; vol. 3515).

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