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Employing Graph Databases for Business Process Management and Representation

In: Advances in Information Systems Development

Author

Listed:
  • Ștefan Uifălean

    (Babeș-Bolyai University)

  • Ana-Maria Ghiran

    (Babeș-Bolyai University)

  • Robert Andrei Buchmann

    (Babeș-Bolyai University)

Abstract

There's growing interest in leveraging the structured and formal nature of business process modeling languages to make them available not only for human-oriented visualization and analysis, but also to machine-oriented knowledge representation. Standard serialization formats are predominantly XML-based, originating in times when XML was imposed as the mainstream interoperability format. Recent research on the interplay between knowledge representation and business process modeling has involved OWL or RDF for semantic enrichment and reasoning, which suggests an evolution towards treating business process models in formats that are better fit to their native structure—e.g., directed labelled graphs. In this paper we introduce a converter that translates the standards-compliant BPMN XML format to Neo4J labelled property graphs (LPG) thus providing an alternative to traditional XML-based serialization, while ensuring conceptual alignment with the standard serialization of BPMN 2.0. A demonstrator was built to highlight the benefits of such a parser and to test the conceptual coverage of BPMN models. The proposal enables graph-driven navigation of business process models in a knowledge-intensive context where procedural knowledge available as BPMN diagrams must be exposed to LPG-driven applications.

Suggested Citation

  • Ștefan Uifălean & Ana-Maria Ghiran & Robert Andrei Buchmann, 2023. "Employing Graph Databases for Business Process Management and Representation," Lecture Notes in Information Systems and Organization, in: Gheorghe Cosmin Silaghi & Robert Andrei Buchmann & Virginia Niculescu & Gabriela Czibula & Chris Bar (ed.), Advances in Information Systems Development, pages 73-92, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-32418-5_5
    DOI: 10.1007/978-3-031-32418-5_5
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