The ontological deficiencies of process modeling in practice

Recker, Jan; Indulska, Marta; Rosemann, Michael; Green, Peter

doi:10.1057/ejis.2010.38

Cited by 61 publications

(40 citation statements)

References 41 publications

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“…Around the year '05, we can see a new evolution in the research of ODCM, where more emphasis is put on the developmental aspect of conceptual modeling. Especially the creation and adoption of ontological guidelines or ontological guidelines in the conceptual modeling process has received much attention (Bera, Burton-Jones, & Wand, 2009;Bera & Evermann, 2012;Bera, 2012;Evermann & Wand, 2011;Recker, Indulska, Rosemann, & Green, 2010).…”

Section: Rq2: What Kinds Of Improvements Have Been Made In Odcm?mentioning

confidence: 99%

Ontology-driven conceptual modeling: A systematic literature mapping and review

Verdonck

Gailly

Cesare

et al. 2015

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Abstract. Ontology-driven conceptual modeling (ODCM) is still a relatively new research domain in the field of information systems and there is still much discussion on how the research in ODCM should be performed and what the focus of this research should be. Therefore, this article aims to critically survey the existing literature in order to assess the kind of research that has been performed over the years, analyze the nature of the research contributions and establish its current state of the art by positioning, evaluating and interpreting relevant research to date that is related to ODCM. To understand and identify any gaps and research opportunities, our literature study is composed of both a systematic mapping study and a systematic review study. The mapping study aims at structuring and classifying the area that is being investigated in order to give a general overview of the research that has been performed in the field. A review study on the other hand is a more thorough and rigorous inquiry and provides recommendations based on the strength of the found evidence. Our results indicate that there are several research gaps that should be addressed and we further composed several research opportunities that are possible areas for future research. IntroductionConceptual models were introduced to increase understanding and communication of a system or domain among stakeholders. According to Stachowiak (1973), a conceptual model possesses three features: (1) a mapping feature, meaning that a model can be seen as a representation of the 'original' system, which is expressed through a modeling language; (2) a reduction feature, characterizing the model as only a subset of the original system and (3) the pragmatics of a model which describes its intended purpose or objective.Conceptual modeling is the activity of representing aspects of the physical and social world for the purpose of communication, learning and problem solving among human users (Mylopoulos, 1992). Conceptual modeling has gained much attention especially in the field of information systems, for design, analysis and development purposes. Their importance was understood in the 1960s, since they facilitate detection and correction of system development errors (Wand & Weber, 2002). The higher the quality of conceptual models, the earlier the 2 detection and correction of these errors occurs. This increase in attention and importance attributed to conceptual modeling led to the development and introduction of a wide range of various conceptual modeling approaches and techniques. Criticism however arose, stating that these approaches and techniques still lacked a comprehensive and generally acknowledged understanding (Moody, 2005). In addition, many conceptual models lacked an adequate specification of the semantics of the terminology of the underlying models, which led to inconsistent interpretations and uses of knowledge (Grüninger, Atefi, & Fox, 2000). In order to provide a foundation for conceptual modeling, ontologies were introduced. As mentio...

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Section: Rq2: What Kinds Of Improvements Have Been Made In Odcm?mentioning

confidence: 99%

Ontology-driven conceptual modeling: A systematic literature mapping and review

Verdonck

Gailly

Cesare

et al. 2015

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“…In [35], the authors performed an ontological analysis to the Business Process Modeling Notation (BPMN). Nine ontological deficiencies related to modeling when using the BPMN were found.…”

Section: Related Workmentioning

confidence: 99%

An Ontology-Based Well-Founded Proposal for Modeling Resources and Capabilities in ArchiMate

Azevedo

Iacob²,

Almeida

et al. 2013

2013 17th IEEE International Enterprise Distributed Object Computing Conference

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Abstract-The importance of capabilities and resources for portfolio management and business strategy has been recognized in the management literature and on a recent proposal to extend ArchiMate, which includes these concepts in order to improve ArchiMate's coverage of portfolio management. This paper presents an ontological analysis of the concepts introduced in that proposal, focusing in particular on the resource, capability and competence concepts. As a result, it proposes well-founded recommendations for improvements, enhancing its suitability and integration possibilities.

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“…Business process modelling is, thus, widely used within and across organizations as a method to increase awareness and knowledge of business processes (Recker, Indulska, Rosemann, & Green, 2010). Not in vain do business process modelling and its automation improve the performance of business activities and en ables enterprise wide monitoring and coordination (Nikolaidou, Anagnostopoulos, & Tsalgatidou, 2001).…”

Section: Business Process Modellingmentioning

confidence: 99%

SABUMO: Towards a collaborative and semantic framework for knowledge sharing

López-Cuadrado

Colomo‐Palacios

González‐Carrasco

et al. 2012

Expert Systems with Applications

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a b s t r a c tKnowledge is one the most valuable assets in todays companies. Artificial Intelligence (AI) techniques aim to represent the knowledge in a way that can be applied to solving complex problems or supporting decision making processes. During the last years the semantic web techniques have supported the share of knowledge by means of ontologies. Ontologies have been used for both annotating resources and rea soning. Business Process Management is one of the specific fields in which the use of ontologies has been widely applied. This paper presents SABUMO, a framework based on ontologies that allows experts to represent and share their knowledge with other experts by means of shared and controlled vocabularies. The framework also allows the execution of business processes represented by experts. The execution of this knowledge does not require the installation of complex AI programs. Initial results of the evaluation setup show promising results both in usability and recommendation.

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The ontological deficiencies of process modeling in practice

Abstract: ABSTRACT

Cited by 61 publications

References 41 publications

Ontology-driven conceptual modeling: A systematic literature mapping and review

Ontology-driven conceptual modeling: A systematic literature mapping and review

An Ontology-Based Well-Founded Proposal for Modeling Resources and Capabilities in ArchiMate

SABUMO: Towards a collaborative and semantic framework for knowledge sharing

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