A Semantic Encoding of Object Centric Event Data
Saba Latif, Fajar J. Ekaputra, Maxim Vidgof, Sabrina Kirrane, Claudio Di Ciccio
TL;DR
The paper presents a three-layer semantic framework for OCED data: OCEDO as the meta-level ontology, OCEDD as domain-specific intensional extensions, and OCEDR as extensional knowledge graphs. Built on RDF/OWL, the approach enables interoperable, machine-readable representations of object-centric event data and supports linking across diverse sources. A BPIC2013-inspired running example illustrates the encoding of events and objects, while a tool demonstrates automated extraction of OCEDR graphs from XES logs. The work lays groundwork for enhanced reasoning, cross-domain data integration, and future extensions such as broader format connectors and normative specifications for OCEDD.
Abstract
The Object-Centric Event Data (OCED) is a novel meta-model aimed at providing a common ground for process data records centered around events and objects. One of its objectives is to foster interoperability and process information exchange. In this context, the integration of data from different providers, the combination of multiple processes, and the enhancement of knowledge inference are novel challenges. Semantic Web technologies can enable the creation of a machine-readable OCED description enriched through ontology-based relationships and entity categorization. In this paper, we introduce an approach built upon Semantic Web technologies for the realization of semantic-enhanced OCED, with the aim to strengthen process data reasoning, interconnect information sources, and boost expressiveness.