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Integrating Ontologies for Context-based Constraint-based Planning
Örebro University, School of Science and Technology. (Applied Autonomous Sensor Systems (AASS))
Örebro University, School of Science and Technology. (Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-4001-2087
Örebro University, School of Science and Technology. (Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-0458-2146
Örebro University, School of Science and Technology. (Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-3122-693X
2018 (English)In: MRC 2018: Modelling and Reasoning in Context, 2018, p. 22-29Conference paper, Published paper (Refereed)
Abstract [en]

We describe an approach for integrating ontologies with a constraint-based planner to compile configuration planning domains based on the current context. We consider two alternative approaches: The first one integrates SPARQL queries directly with the planner while the second one generates SPARQL queries dynamically from provided triples. The first approach offers the full freedom of the SPARQL query language, while the second offers a more dynamic way for the planner to influence queries based on what is currently relevant for the planner. We evaluate the approach based on how much redundancy is removed by “outsourcing” knowledge into the ontology compared to modeling it directly into the domain of the planner.

Place, publisher, year, edition, pages
2018. p. 22-29
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-67849OAI: oai:DiVA.org:oru-67849DiVA, id: diva2:1232117
Conference
Tenth InternationalWorkshop Modelling and Reasoning in Context (MRC), Stockholm, Sweden, July 13, 2018
Available from: 2018-07-10 Created: 2018-07-10 Last updated: 2018-08-08Bibliographically approved

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Köckemann, UweAlirezaie, MarjanKarlsson, LarsLoutfi, Amy
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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