Ontological support for modelling planning knowledge

Gerhard Wickler; Lukáš Chrpa; Thomas Leo McCluskey

doi:10.1007/978-3-319-25840-9_19

Ontological support for modelling planning knowledge

Gerhard Wickler, Lukáš Chrpa, Thomas Leo McCluskey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Revised Selected Papers
Publisher	Springer Verlag
Pages	293-312
Number of pages	20
Volume	553
ISBN (Print)	9783319258393, 9783319258393
DOIs	https://doi.org/10.1007/978-3-319-25840-9_19
Publication status	Published - 2015
Event	6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Rome, Italy Duration: 21 Oct 2014 → 24 Oct 2014 Conference number: 6

Publication series

Name	Communications in Computer and Information Science
Volume	553
ISSN (Print)	18650929

Conference

Conference	6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Abbreviated title	IC3K 2014
Country/Territory	Italy
City	Rome
Period	21/10/14 → 24/10/14

Access to Document

10.1007/978-3-319-25840-9_19Licence: Other

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

@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}{\v s} 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",

address = "Germany",

note = "6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014 ; Conference date: 21-10-2014 Through 24-10-2014",

}

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 proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ontological support for modelling planning knowledge

AU - Wickler, Gerhard

AU - Chrpa, Lukáš

AU - McCluskey, Thomas Leo

N1 - Conference code: 6

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

AN - SCOPUS:84951267837

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

T2 - 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Y2 - 21 October 2014 through 24 October 2014

ER -

Ontological support for modelling planning knowledge

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this