1. Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)
- Author
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Wouter Verbeke, Nadejda Alkhaldi, Sven Casteleyn, Frederik Gailly, National Bank of Belgium, Business technology and Operations, UGENT VUB Alliance Research Group in Information Systems, and Faculty of Economic and Social Sciences and Solvay Business School
- Subjects
conceptual Modeling ,Knowledge management ,Process modeling ,Modeling language ,Computer science ,Process ontology ,media_common.quotation_subject ,Interoperability ,conceptual modeling ,LANGUAGE ,BPMN ,02 engineering and technology ,Ontology-driven modeling ,Ontology (information science) ,Data modeling ,Business and Economics ,Business Process Model and Notation ,Business process management ,enterprise ontology ,UFO ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,Upper ontology ,Conceptuel modeling ,ontology-driven modeling ,OWL ,media_common ,business.industry ,Ontology-based data integration ,ENTERPRISE ,Enterprise Ontology ,Conceptual model (computer science) ,020207 software engineering ,Ontology-driven conceptual modeling ,Ontology ,Conceptual model ,BUSINESS PROCESS MANAGEMENT ,business ,Software engineering ,Information Systems - Abstract
Within an enterprise, various stakeholders create different conceptual models, such as process, data, and requirements models. These models are fundamentally based on similar underlying enterprise (domain) concepts, but they differ in focus, use different modelling languages, take different viewpoints, utilize different terminology, and are used to develop different enterprise artefacts; as such, they typically lack consistency and interoperability. This issue can be solved by enterprise-specific ontologies, which serve as a reference during the conceptual model creation. Using such a shared semantic repository makes conceptual models interoperable and facilitates model integration. The challenge to accomplish this is twofold: on the one hand, an up-to-date enterprise-specific ontology needs to be created and maintained, and on the other hand, different modellers also need to be supported in their use of the enterprise-specific ontology. In this article, we propose to tackle these challenges by means of a recommendation-based conceptual modelling and an ontology evolution framework, and we focus in particular on ontology-based modelling support. To this end, we present our framework for Business Process Modelling Notation (BPMN) as a conceptual modelling language, and focus on how modellers can be assisted during the modelling process and how this impacts the semantic quality of the resulting models. Subsequently, we present a first, large-scale explorative experiment involving 140 business students to evaluate the BPMN instantiation of our framework. The experiments show promising results with regard to incurred overhead, intention of use and model interoperability.
- Published
- 2017
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