KEWI: A Knowledge Engineering Tool for Modelling AI Planning Tasks

Wickler, Gerhard, Chrpa, Lukáš and McCluskey, T.L. (2014) KEWI: A Knowledge Engineering Tool for Modelling AI Planning Tasks. In: 6th International Conference on Knowledge Engineering and Ontology Development, 21st-24th October 2014, Rome, Italy.

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Abstract

This paper introduces the Knowledge Engineering Web Interface (KEWI) which primarily aims to be used for
modelling automated planning tasks in a semi-formal framework. The conceptual model used to represent the
declarative and procedural knowledge in KEWI is described formally. The 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. For operational use, KEWI automatically generates PDDL. Initial experiments show
that the generated PDDL can be processed by a planner without incurring significant drawbacks.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Schools:	School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:	Author Author
Depositing User:	Lukas Chrpa
Date Deposited:	11 Nov 2014 16:08
Last Modified:	06 Apr 2018 17:02
URI:	http://eprints.hud.ac.uk/id/eprint/22248

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