KEWI: A knowledge engineering tool for modelling AI planning tasks

Gerhard Wickler, Lukáš Chrpa, Thomas Leo McCluskey

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

2 Citations (Scopus)

Abstract

This paper introduces the Knowledge EngineeringWeb 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.

Original languageEnglish
Title of host publicationKEOD 2014 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development
PublisherINSTICC Press
Pages36-47
Number of pages12
ISBN (Electronic)9789897580499
Publication statusPublished - 2014
Event6th International Conference on Knowledge Engineering and Ontology Development - Rome, Italy
Duration: 21 Oct 201424 Oct 2014
Conference number: 6

Conference

Conference6th International Conference on Knowledge Engineering and Ontology Development
Abbreviated titleKEOD 2014
CountryItaly
CityRome
Period21/10/1424/10/14

    Fingerprint

Cite this

Wickler, G., Chrpa, L., & McCluskey, T. L. (2014). KEWI: A knowledge engineering tool for modelling AI planning tasks. In KEOD 2014 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (pp. 36-47). INSTICC Press.