Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)

Gailly, Frederik; Alkhaldi, Nadejda; Casteleyn, Sven; Verbeke, Wouter

doi:10.1007/s12599-017-0488-y

Cited by 12 publications

(5 citation statements)

References 39 publications

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“…Those recommended patterns in [49] could be beneficial to assess whether the business processes generated by our solution, in specific when a huge network of transactions exists, are syntactically correct in BPMN. [38] corroborates the different interpretations of a given business process that could be conflicting and propose a semantic repository to inter-operate models. However, the repository is based on the syntax of BPMN and not on the semantic of business process.…”

Section: Syntactic-based Approachessupporting

confidence: 68%

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A framework to semantify BPMN models using DEMO business transaction pattern

Guerreiro,

Sousa

2020

Preprint

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Context: BPMN is a specification language widely used by industry and researchers for business process modeling and execution. It defines clearly how to articulate its concepts, but do not provide mechanism to represent the semantics of the produced models.Objective: This paper addresses the problem of how to improve the expressiveness of BPMN models, proposing a definition for the semantics of a business process within a BPMN model, and improving the completeness of the models in a systematic manner, so that models can describe far more situations with few extra managed complexity.Method: We conceive a framework based on the business transaction patterns available in the enterprise ontology body of knowledge to prescribe the foundations of semantic BPMN models. A tool has been developed to automate the framework. Then, two industrial proof-of-concepts are used to measure its coverage, both positive and negative, and to argue about our proposal's usefulness. After that, the proposal is compared with others using a systematic literature review.Results: A full BPMN pattern is proposed encompassing the happy flow, the declinations, the rejections and the revocations, without adding any new element to the BPMN specification. A software tool has been developed, and made publicly available, to support the automatic generation of the BPMN models from the proposed patterns. Our semantified BPMN pattern allowed the identification of a large amount of implicit, and other not implemented, situations in both proof-of-concepts.Conclusion: It is concluded that the usage of a semantic solution, grounded on a sound pattern, allows the systematic enrichment of the BPMN models with a bounded effort. Moreover, to simplify the BPMN executable models' implementation, its elements could be classified as implicit, explicit, or not implemented yet. Finally, related work indicates that this work is demanded, but no full solutions are available.

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Section: Syntactic-based Approachessupporting

confidence: 68%

“…& Fellmann [21] Gailly et al [38] Mazzola et al [42] Driss et al [47] OWL [53] UFO [52] Table 14: List of ontologies referenced in related work.…”

Section: Thomasmentioning

confidence: 99%

A framework to semantify BPMN models using DEMO business transaction pattern

Guerreiro,

Sousa

2020

Preprint

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“…A number of the measures that are currently used only to evaluate the method will than probably become part of the method. Or, the research can be connected to existing work on ontological process modeling support (see for example the overview of [61] or our work on smart ontology-supported conceptual modeling [62]). …”

Section: Resultsmentioning

confidence: 99%

The Structured Process Modeling Method (SPMM) what is the best way for me to construct a process model?

Claes

Vanderfeesten

Gailly

et al. 2017

Decision Support Systems

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Abstract. More and more organizations turn to the construction of process models to support strategical and operational tasks. At the same time, reports indicate quality issues for a considerable part of these models, caused by modeling errors. Therefore, the research described in this paper investigates the development of a practical method to determine and train an optimal process modeling strategy that aims to decrease the number of cognitive errors made during modeling. Such cognitive errors originate in inadequate cognitive processing caused by the inherent complexity of constructing process models. The method helps modelers to derive their personal cognitive profile and the related optimal cognitive strategy that minimizes these cognitive failures. The contribution of the research consists of the conceptual method and an automated modeling strategy selection and training instrument. These two artefacts are positively evaluated by a laboratory experiment covering multiple modeling sessions and involving a total of 149 master students at Ghent University.Keywords: modeling support, smart business process management, cognitive aspects of modeling, process of process modeling, process model quality. IntroductionIn today's competitive markets with challenges in terms of globalization, mass-customization and risk control, it is considered important for organizations to manage and control their business processes thoroughly. Therefore, many organizations nowadays spend a great deal of effort to build and maintain a collection of business process models (or "process models" for short). These models represent various aspects of the business processes, such as the control, communication and information flows, while abstracting from individual process instances. The process models are used to support a diversity of process management tasks ranging from the strategical to the operational level: communication, documentation, analysis, (re)design, simulation, execution, etc. [1,2].Unfortunately, regardless of their importance and potential, case studies report many issues with the quality of process models in organizations [3][4][5]. Hence, researchers have built a large body of knowledge about the quality of conceptual (process) models [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Nevertheless, research about operational guidance on how to create high quality process models appears to be limited to the development of general guidelines about the ideal properties of produced models [22][23][24][25] and to the spontaneous description of best practices that emerged among process modeling experts [26,27]. Thus, there is a lack of sound operational support to help a modeler in translating her/his mental image of the real-world business process into a high quality process model [21].Considering on the one hand the importance of process modeling and on the other hand the reported quality issues and lack of operational support, the research objective addressed in this paper is to develop a practical method that...

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“…For example, virtually all existing approaches assume "ready-to-go" ontologies that can be used as a basis for extending process models. Here, following works such as [24], we argue that this assumption might not be plausible in an enterprise setting, an rather, companies must also be supported in the initial creation of ontologies (R1). Also, following woks such as [46], both the ontology-and process model labels should be initially standardized, as a basis for extending process models (R2).…”

Section: Requirements For Implementing Obpmmentioning

confidence: 99%

Ontology-Based Process Modelling -- Will we live to see it?

Corea¹,

Fellmann²,

Delfmann³

2021

Preprint

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In theory, ontology-based process modelling (OBPM) bares great potential to extend business process management. Many works have studied OBPM and are clear on the potential amenities, such as eliminating ambiguities or enabling advanced reasoning over company processes. However, despite this approval in academia, a widespread industry adoption is still nowhere to be seen. This can be mainly attributed to the fact, that it still requires high amounts of manual labour to initially create ontologies and annotations to process models. As long as these problems are not addressed, implementing OBPM seems unfeasible in practice. In this work, we therefore identify requirements needed for a successful implementation of OBPM and assess the current state of research w.r.t. these requirements. Our results indicate that the research progress for means to facilitate OBPM are still alarmingly low and there needs to be urgent work on extending existing approaches.

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Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)

Cited by 12 publications

References 39 publications

A framework to semantify BPMN models using DEMO business transaction pattern

A framework to semantify BPMN models using DEMO business transaction pattern

The Structured Process Modeling Method (SPMM) what is the best way for me to construct a process model?

Ontology-Based Process Modelling -- Will we live to see it?

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