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

Fingerprint

Knowledge engineering
Planning
Ontology
Engines
Experiments

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
Wickler, Gerhard ; Chrpa, Lukáš ; McCluskey, Thomas Leo. / Ontological support for modelling planning knowledge. Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Revised Selected Papers. Vol. 553 Springer Verlag, 2015. pp. 293-312 (Communications in Computer and Information Science).
@inproceedings{0a68ca55b5fc4db3aa835196eba51d34,
title = "Ontological support for modelling planning knowledge",
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.",
keywords = "Automated planning, Knowledge engineering",
author = "Gerhard Wickler and Luk{\'a}š Chrpa and McCluskey, {Thomas Leo}",
year = "2015",
doi = "10.1007/978-3-319-25840-9_19",
language = "English",
isbn = "9783319258393",
volume = "553",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "293--312",
booktitle = "Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Revised Selected Papers",

}

Wickler, G, Chrpa, L & McCluskey, TL 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, Communications in Computer and Information Science, vol. 553, Springer Verlag, pp. 293-312, 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Rome, Italy, 21/10/14. https://doi.org/10.1007/978-3-319-25840-9_19

Ontological support for modelling planning knowledge. / Wickler, Gerhard; Chrpa, Lukáš; McCluskey, Thomas Leo.

Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Revised Selected Papers. Vol. 553 Springer Verlag, 2015. p. 293-312 (Communications in Computer and Information Science; Vol. 553).

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

TY - GEN

T1 - Ontological support for modelling planning knowledge

AU - Wickler, Gerhard

AU - Chrpa, Lukáš

AU - McCluskey, Thomas Leo

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Automated planning

KW - Knowledge engineering

UR - http://www.scopus.com/inward/record.url?scp=84951267837&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-25840-9_19

DO - 10.1007/978-3-319-25840-9_19

M3 - Conference contribution

SN - 9783319258393

SN - 9783319258393

VL - 553

T3 - Communications in Computer and Information Science

SP - 293

EP - 312

BT - Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Revised Selected Papers

PB - Springer Verlag

ER -

Wickler G, Chrpa L, McCluskey TL. 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. Springer Verlag. 2015. p. 293-312. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-25840-9_19