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ASP and ontologies for reasoning on business processes

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper we show that Answer Set Programming (ASP) can accommodate for domain ontologies in modeling and reasoning about Business Processes, especially for process verification. In this work, knowledge on the process domain is expressed in a low-complexity description logic (DL), and terms from the ontology can be used in embedding business rules in the model as well as in expressing constraints that should be verified to achieve compliance by design. Causal rules for reasoning on side-effects of activities in the process domain can be derived, based on knowledge expressed in the DL. We show how ASP can accommodate them, relying on reasoning about actions and change, for process analysis, and, in particular, for verifying formulas in temporal logic.

Original languageEnglish
Pages (from-to)45-52
Number of pages8
JournalCEUR Workshop Proceedings
Volume2495
Publication statusPublished - 2019
EventDiscussion and Doctoral Consortium Papers of AI*IA - 18th International Conference of the Italian Association for Artificial Intelligence, AI*IA-DDC 2019 - Rende, Italy
Duration: 19 Nov 201922 Nov 2019

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