Summary of Planning with Owl-dl Ontologies (extended Version), by Tobias John et al.
Planning with OWL-DL Ontologies (Extended Version)
by Tobias John, Patrick Koopmann
First submitted to arxiv on: 14 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces ontology-mediated planning, a novel approach that combines planning problems with an ontology. Unlike existing methods, this formalism separates planning problem description from ontology definition, linked by an interface. The authors present a black-box algorithm supporting OWL DL’s full expressive power, surpassing current limitations in automated planning and ontologies. The main algorithm rewrites ontology-mediated planning specifications into PDDL, enabling the use of existing planning systems to solve problems. Justifications are used to achieve generality, but dedicated optimizations for computing justifications are required for efficient rewriting. Evaluations on benchmark sets from multiple domains demonstrate the effectiveness of this procedure, with performance significantly impacted by tailoring the reasoning process. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper combines two important areas: planning and knowledge representation. The authors create a new way to solve problems that involves both planning and understanding the world (represented as an ontology). They develop a special algorithm that can handle complex descriptions of things, which is better than previous methods. This allows them to use existing systems for solving problems. They tested their approach on many different types of problems and found it works well. |
