Planning with Ontology-Enhanced States Using Problem-Dependent Rewritings

Tobias John; Patrick Koopmann

Planning with Ontology-Enhanced States Using Problem-Dependent Rewritings

Tobias John
, Patrick Koopmann

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

Abstract

We present a framework to integrate OWL ontologies into planning specifications. The resulting planning problems consider states that correspond to OWL knowledge bases, so that implicit information deduced using OWL reasoning may influence the decisions taken by the planner. While other approaches integrate ontology languages directly into the planning specification, our approach keeps planning specification and ontology separated, and only loosely couples them through an interface. This allows the ontology to be developed and maintained by ontology experts, and the planning specification by planing experts. We developed a practical method for planning in those ontology-mediated planning specifications, which, different to other ontology-based approaches to planning, supports full OWL-DL. Specifically, we implemented a problem-dependent rewriting approach that translates the ontology-mediated planning specification—including the planning domain and the planning problem—into a PDDL planning specification that can be processed by a standard PDDL planner.

Original language	English
Title of host publication	Proceedings of the 1st International Planning and Ontology Workshop
Subtitle of host publication	co-located with The 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023)
Volume	3493
Publication status	Published - 2023
Event	1st International Planning and Ontology Workshop, PLATO 2023 - Prague, Czech Republic Duration: 10 Jul 2023 → …

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR Workshop Proceedings
ISSN (Print)	1613-0073

Conference

Conference	1st International Planning and Ontology Workshop, PLATO 2023
Country/Territory	Czech Republic
City	Prague
Period	10/07/23 → …

Bibliographical note

Publisher Copyright:
© 2023 Copyright for this paper by its authors.

Keywords

Description Logics
OWL Ontologies
Planning

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Cite this

@inproceedings{22f76ff80cc1467390195568eaaeb7ca,

title = "Planning with Ontology-Enhanced States Using Problem-Dependent Rewritings",

abstract = "We present a framework to integrate OWL ontologies into planning specifications. The resulting planning problems consider states that correspond to OWL knowledge bases, so that implicit information deduced using OWL reasoning may influence the decisions taken by the planner. While other approaches integrate ontology languages directly into the planning specification, our approach keeps planning specification and ontology separated, and only loosely couples them through an interface. This allows the ontology to be developed and maintained by ontology experts, and the planning specification by planing experts. We developed a practical method for planning in those ontology-mediated planning specifications, which, different to other ontology-based approaches to planning, supports full OWL-DL. Specifically, we implemented a problem-dependent rewriting approach that translates the ontology-mediated planning specification—including the planning domain and the planning problem—into a PDDL planning specification that can be processed by a standard PDDL planner.",

keywords = "Description Logics, OWL Ontologies, Planning",

author = "Tobias John and Patrick Koopmann",

note = "Publisher Copyright: {\textcopyright} 2023 Copyright for this paper by its authors.; 1st International Planning and Ontology Workshop, PLATO 2023 ; Conference date: 10-07-2023",

year = "2023",

language = "English",

volume = "3493",

series = "CEUR Workshop Proceedings",

publisher = "CEUR Workshop Proceedings",

booktitle = "Proceedings of the 1st International Planning and Ontology Workshop",

}

John, T & Koopmann, P 2023, Planning with Ontology-Enhanced States Using Problem-Dependent Rewritings. in Proceedings of the 1st International Planning and Ontology Workshop : co-located with The 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023). vol. 3493, CEUR Workshop Proceedings, 1st International Planning and Ontology Workshop, PLATO 2023, Prague, Czech Republic, 10/07/23.

Planning with Ontology-Enhanced States Using Problem-Dependent Rewritings. / John, Tobias; Koopmann, Patrick.
Proceedings of the 1st International Planning and Ontology Workshop : co-located with The 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023). Vol. 3493 2023. (CEUR Workshop Proceedings).

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

TY - GEN

T1 - Planning with Ontology-Enhanced States Using Problem-Dependent Rewritings

AU - John, Tobias

AU - Koopmann, Patrick

PY - 2023

Y1 - 2023

N2 - We present a framework to integrate OWL ontologies into planning specifications. The resulting planning problems consider states that correspond to OWL knowledge bases, so that implicit information deduced using OWL reasoning may influence the decisions taken by the planner. While other approaches integrate ontology languages directly into the planning specification, our approach keeps planning specification and ontology separated, and only loosely couples them through an interface. This allows the ontology to be developed and maintained by ontology experts, and the planning specification by planing experts. We developed a practical method for planning in those ontology-mediated planning specifications, which, different to other ontology-based approaches to planning, supports full OWL-DL. Specifically, we implemented a problem-dependent rewriting approach that translates the ontology-mediated planning specification—including the planning domain and the planning problem—into a PDDL planning specification that can be processed by a standard PDDL planner.

AB - We present a framework to integrate OWL ontologies into planning specifications. The resulting planning problems consider states that correspond to OWL knowledge bases, so that implicit information deduced using OWL reasoning may influence the decisions taken by the planner. While other approaches integrate ontology languages directly into the planning specification, our approach keeps planning specification and ontology separated, and only loosely couples them through an interface. This allows the ontology to be developed and maintained by ontology experts, and the planning specification by planing experts. We developed a practical method for planning in those ontology-mediated planning specifications, which, different to other ontology-based approaches to planning, supports full OWL-DL. Specifically, we implemented a problem-dependent rewriting approach that translates the ontology-mediated planning specification—including the planning domain and the planning problem—into a PDDL planning specification that can be processed by a standard PDDL planner.

KW - Description Logics

KW - OWL Ontologies

KW - Planning

UR - https://www.scopus.com/pages/publications/85168853393

UR - https://www.scopus.com/pages/publications/85168853393#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:85168853393

VL - 3493

T3 - CEUR Workshop Proceedings

BT - Proceedings of the 1st International Planning and Ontology Workshop

T2 - 1st International Planning and Ontology Workshop, PLATO 2023

Y2 - 10 July 2023

ER -

Planning with Ontology-Enhanced States Using Problem-Dependent Rewritings

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