Affiliations:
Department of Mathematics and Computer Science, University of Catania, Catania, Italy
Correspondence:
[*]
Corresponding author: Daniele Francesco Santamaria, Department of Mathematics and Computer Science, University of Catania, Viale Andrea Doria 6 - 95125 - Catania, Italy. E-mail: daniele.santamaria@unict.it.
Note: [$] This article is an extended revision of “The Ontology for Agents, Systems and Integration of Services: recent advancements of OASIS”, Proceedings of WOA 2022: 23rd Workshop From Objects to Agents, September 1–2, Genova, Italy. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 3261, pp.176–193.
Abstract: Semantic representation is a key enabler for several application domains, and the multi-agent systems realm makes no exception. Among the methods for semantically representing agents, one has been essentially achieved by taking a behaviouristic vision, through which one can describe how they operate and engage with their peers. The approach essentially aims at defining the operational capabilities of agents through the mental states related with the achievement of tasks. The OASIS ontology — An Ontology for Agent, Systems, and Integration of Services, presented in 2019 — pursues the behaviouristic approach to deliver a semantic representation system and a communication protocol for agents and their commitments. This paper reports on the main modelling choices concerning the representation of agents in OASIS 2, the latest major upgrade of OASIS, and the achievement reached by the ontology since it was first introduced, in particular in the context of ontologies for blockchains.
Keywords: Semantic web, ontology, OWL, agent, multi-agent systems
