Event Modeling for Reasoning of Consequences

Haroldo R. S. Silva, Fabrício H. Rodrigues, Mara Abel

2025

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.

Paper Citation

in Harvard Style

Silva H., Rodrigues F. and Abel M. (2025). Event Modeling for Reasoning of Consequences. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 71-82. DOI: 10.5220/0013440400003929

in Bibtex Style

@conference{iceis25,
author={Haroldo Silva and Fabrício Rodrigues and Mara Abel},
title={Event Modeling for Reasoning of Consequences},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={71-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013440400003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Event Modeling for Reasoning of Consequences
SN - 978-989-758-749-8
AU - Silva H.
AU - Rodrigues F.
AU - Abel M.
PY - 2025
SP - 71
EP - 82
DO - 10.5220/0013440400003929
PB - SciTePress