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Informatics Institute, Federal University of Rio Grande do Sul (INF-UFRGS), Av. Bento Gonçalves, 9090 - Agronomia, Porto Alegre - RS, 91540-000, Brazil

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1 Papers

Event Modeling for Reasoning of Consequences

Topics: Ontology Engineering; Semantic Web Technologies and Applications

Authors: Haroldo Silva , Fabrício Rodrigues and Mara Abel

Affiliation: Informatics Institute, Federal University of Rio Grande do Sul (INF-UFRGS), Av. Bento Gonçalves, 9090 - Agronomia, Porto Alegre - RS, 91540-000, Brazil

Digital Object Identifier: 10.5220/0013440400003929

Proceedings of ICEIS 2025, ISBN: 978-989-758-749-8

Quick Abstract

The modeling of events is crucial in several domains in which the temporal evolution of data supports decision-making, but the representation limitations in the state of the art in conceptual modeling are still a barrier to software application development. Current solutions fail to reconcile behavior expressiveness, reuse, and technological compatibility. This work considers event modeling under the approach of ontologies and focuses on the reasoning behind inferring the consequences of events. We propose the use of rule description languages to improve traditional ontology reasoning with interpretation capabilities of specific semantics, preserving the utility of current technologies (by not depending on non-analyzable descriptions, either by representational, modeling, or technological choice) while inferring in ways that are not possible with conventional axioms. During this work, we explore solutions compatible with the Semantic Web to represent the behavior of events, resulting in an OWL representation of an event model supported by SHACL-SPARQL inference and consistency check. We demonstrate our proposition by importing the resulting model to a domain ontology of the O&G industry and showing how the event consequences inferred affect a query over the oil flow.