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SMT safety verification of ontology-based processes
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. Faculty of Engineering, Free University of Bozen-Bolzano, Italy.ORCID-id: 0000-0001-5174-9693
Faculty of Engineering, Free University of Bozen-Bolzano, Italy.
Faculty of Engineering, Free University of Bozen-Bolzano, Italy.
Faculty of Engineering, Free University of Bozen-Bolzano, Italy.
2023 (Engelska)Ingår i: Proceedings of the 37th AAAI conference on artificial intelligence, AAAI2023, AAAI Press, 2023, Vol. 37, s. 6271-6279Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In the context of verification of data-aware processes, a formal approach based on satisfiability modulo theories (SMT) has been considered to verify parameterised safety properties. This approach requires a combination of model-theoretic notions and algorithmic techniques based on backward reachability. We introduce here Ontology-Based Processes, which are a variant of one of the most investigated models in this spectrum, namely simple artifact systems (SASs), where, instead of managing a database, we operate over a description logic (DL) ontology. We prove that when the DL is expressed in (a slight extension of) RDFS, it enjoys suitable model-theoretic properties, and that by relying on such DL we can define Ontology-Based Processes to which backward reachability can still be applied. Relying on these results we are able to show that in this novel setting, verification of safety properties is decidable in PSPACE.

Ort, förlag, år, upplaga, sidor
AAAI Press, 2023. Vol. 37, s. 6271-6279
Nyckelord [en]
KRR: Action, Change, and Causality, KRR: Description Logics, KRR: Automated Reasoning and Theorem Proving
Nationell ämneskategori
Datavetenskap (datalogi) Datorsystem
Identifikatorer
URN: urn:nbn:se:umu:diva-213412DOI: 10.1609/aaai.v37i5.25772Scopus ID: 2-s2.0-85167872930ISBN: 9781577358800 (digital)OAI: oai:DiVA.org:umu-213412DiVA, id: diva2:1795515
Konferens
37th AAAI Conference on Artificial Intelligence, AAAI 2023, Washington, February 7-14 2023.
Tillgänglig från: 2023-09-08 Skapad: 2023-09-08 Senast uppdaterad: 2023-09-08Bibliografiskt granskad

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Calvanese, Diego

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Totalt: 144 träffar
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