Employing Graph Databases for Business Process Management and Representation

Ștefan Uifălean (), Ana-Maria Ghiran () and Robert Andrei Buchmann ()
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Ștefan Uifălean: Babeș-Bolyai University
Ana-Maria Ghiran: Babeș-Bolyai University
Robert Andrei Buchmann: Babeș-Bolyai University

A chapter in Advances in Information Systems Development, 2023, pp 73-92 from Springer

Abstract: 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.

Keywords: Labelled property graphs; Model-driven software engineering; BPMN 2.0 XML; Graph databases; Process queries (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-32418-5_5

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