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Authors: Gerhard Wickler 1 ; Lukáš Chrpa 2 and Thomas Leo McCluskey 2

Affiliations: 1 University of Edinburgh, United Kingdom ; 2 University of Huddersfield, United Kingdom

Keyword(s): Knowledge Engineering, Automated Planning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Domain Analysis and Modeling ; Enterprise Software Technologies ; Intelligent Problem Solving ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Software Engineering ; Symbolic Systems

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.

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Paper citation in several formats:
Wickler, G.; Chrpa, L. and McCluskey, T. (2014). KEWI - A Knowledge Engineering Tool for Modelling AI Planning Tasks. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD; ISBN 978-989-758-049-9; ISSN 2184-3228, SciTePress, pages 36-47. DOI: 10.5220/0005034400360047

@conference{keod14,
author={Gerhard Wickler. and Lukáš Chrpa. and Thomas Leo McCluskey.},
title={KEWI - A Knowledge Engineering Tool for Modelling AI Planning Tasks},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD},
year={2014},
pages={36-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005034400360047},
isbn={978-989-758-049-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD
TI - KEWI - A Knowledge Engineering Tool for Modelling AI Planning Tasks
SN - 978-989-758-049-9
IS - 2184-3228
AU - Wickler, G.
AU - Chrpa, L.
AU - McCluskey, T.
PY - 2014
SP - 36
EP - 47
DO - 10.5220/0005034400360047
PB - SciTePress

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