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.
Lingua originale | Inglese |
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pagine (da-a) | 45-52 |
Numero di pagine | 8 |
Rivista | CEUR Workshop Proceedings |
Volume | 2495 |
Stato di pubblicazione | Pubblicato - 2019 |
Evento | Discussion and Doctoral Consortium Papers of AI*IA - 18th International Conference of the Italian Association for Artificial Intelligence, AI*IA-DDC 2019 - Rende, Italy Durata: 19 nov 2019 → 22 nov 2019 |