Ontological support for modelling planning knowledge

Gerhard Wickler, Lukáš Chrpa, Thomas Leo McCluskey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the conceptual model underlying the Knowledge Engineering Web Interface (KEWI) which primarily aims to be used for modelling planning tasks in a semi-formal framework. This model consists of three layers: a rich ontology, a model of basic actions, and more complex methods. It is this structured conceptual model based on the rich ontology that facilitates knowledge engineering. The focus of this paper is to show how the central knowledge model used in KEWI differs from a model directly encoded in PDDL, the language accepted by most existing planning engines. Specifically, the rich ontology enables a more concise and natural style of representation, including function terms as object references. For operational use, KEWI automatically generates PDDL. Experiments show that the generated PDDL can be processed by a planner without incurring significant drawbacks.

Original languageEnglish
Title of host publicationKnowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Revised Selected Papers
PublisherSpringer Verlag
Pages293-312
Number of pages20
Volume553
ISBN (Print)9783319258393, 9783319258393
DOIs
Publication statusPublished - 2015
Event6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Rome, Italy
Duration: 21 Oct 201424 Oct 2014
Conference number: 6

Publication series

NameCommunications in Computer and Information Science
Volume553
ISSN (Print)18650929

Conference

Conference6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Abbreviated titleIC3K 2014
CountryItaly
CityRome
Period21/10/1424/10/14

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  • Cite this

    Wickler, G., Chrpa, L., & McCluskey, T. L. (2015). Ontological support for modelling planning knowledge. In Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Revised Selected Papers (Vol. 553, pp. 293-312). (Communications in Computer and Information Science; Vol. 553). Springer Verlag. https://doi.org/10.1007/978-3-319-25840-9_19