Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations

Hassna Louadah; Emmanuel Papadakis; Lee McCluskey; Gareth Tucker; Peter Hughes; Adam Bevan

Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations

Hassna Louadah, Emmanuel Papadakis, Lee McCluskey, Gareth Tucker, Peter Hughes, Adam Bevan

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

Abstract

In this paper we describe work in progress investigating how to use ontological knowledge to facilitate goal-directed planning and scheduling, to help in a Virtual Depot project which features the automation of railway depot maintenance operations. Potential applications of AI planning within such integrated applications ranges from optimisation of processes and process scheduling, to the use of planning in automated manufacturing and robot manipulation. Here we illustrate the kind of knowledge harvested in the project, show the basis of an automated translation procedure from OWL/SWRL languages to PDDL format, and illustrate its usefulness with some example plan generation applications.

Original language	English
Title of host publication	Proceedings of PlanSIG 2021
Publisher	AAAI press
Number of pages	9
Publication status	Published - 20 Dec 2021
Event	36th Workshop of the UK Planning and Scheduling Special Interest Group - Online, virtual Duration: 20 Dec 2021 → 20 Dec 2021 Conference number: 36 https://plansig2021.wordpress.com/

Conference

Conference	36th Workshop of the UK Planning and Scheduling Special Interest Group
Abbreviated title	PlanSIG 2021
City	Online, virtual
Period	20/12/21 → 20/12/21
Internet address	https://plansig2021.wordpress.com/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://plansig2021.files.wordpress.com/2021/12/plansig_2021_paper_4.pdfLicence: Unspecified

Cite this

@inproceedings{a5cf4096a5ba45648bf6b9c71e10206b,

title = "Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations",

abstract = "In this paper we describe work in progress investigating how to use ontological knowledge to facilitate goal-directed planning and scheduling, to help in a Virtual Depot project which features the automation of railway depot maintenance operations. Potential applications of AI planning within such integrated applications ranges from optimisation of processes and process scheduling, to the use of planning in automated manufacturing and robot manipulation. Here we illustrate the kind of knowledge harvested in the project, show the basis of an automated translation procedure from OWL/SWRL languages to PDDL format, and illustrate its usefulness with some example plan generation applications.",

keywords = "Ontological Engineering, AI planning, Automated manufacturing",

author = "Hassna Louadah and Emmanuel Papadakis and Lee McCluskey and Gareth Tucker and Peter Hughes and Adam Bevan",

year = "2021",

month = dec,

day = "20",

language = "English",

booktitle = "Proceedings of PlanSIG 2021",

publisher = "AAAI press",

address = "United States",

note = "36th Workshop of the UK Planning and Scheduling Special Interest Group, PlanSIG 2021 ; Conference date: 20-12-2021 Through 20-12-2021",

url = "https://plansig2021.wordpress.com/",

}

Louadah, H , Papadakis, E , McCluskey, L , Tucker, G, Hughes, P & Bevan, A 2021, Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations. in Proceedings of PlanSIG 2021. AAAI press, 36th Workshop of the UK Planning and Scheduling Special Interest Group, Online, virtual, 20/12/21. <https://plansig2021.files.wordpress.com/2021/12/plansig_2021_paper_4.pdf>

TY - GEN

T1 - Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations

AU - Louadah, Hassna

AU - Papadakis, Emmanuel

AU - McCluskey, Lee

AU - Tucker, Gareth

AU - Hughes, Peter

AU - Bevan, Adam

N1 - Conference code: 36

PY - 2021/12/20

Y1 - 2021/12/20

N2 - In this paper we describe work in progress investigating how to use ontological knowledge to facilitate goal-directed planning and scheduling, to help in a Virtual Depot project which features the automation of railway depot maintenance operations. Potential applications of AI planning within such integrated applications ranges from optimisation of processes and process scheduling, to the use of planning in automated manufacturing and robot manipulation. Here we illustrate the kind of knowledge harvested in the project, show the basis of an automated translation procedure from OWL/SWRL languages to PDDL format, and illustrate its usefulness with some example plan generation applications.

AB - In this paper we describe work in progress investigating how to use ontological knowledge to facilitate goal-directed planning and scheduling, to help in a Virtual Depot project which features the automation of railway depot maintenance operations. Potential applications of AI planning within such integrated applications ranges from optimisation of processes and process scheduling, to the use of planning in automated manufacturing and robot manipulation. Here we illustrate the kind of knowledge harvested in the project, show the basis of an automated translation procedure from OWL/SWRL languages to PDDL format, and illustrate its usefulness with some example plan generation applications.

KW - Ontological Engineering

KW - AI planning

KW - Automated manufacturing

UR - https://plansig2021.wordpress.com/

UR - https://ccia.ugr.es/~faro/workshop/Workshop.htm

M3 - Conference contribution

BT - Proceedings of PlanSIG 2021

PB - AAAI press

T2 - 36th Workshop of the UK Planning and Scheduling Special Interest Group

Y2 - 20 December 2021 through 20 December 2021

ER -

Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this