On the ontological expressiveness of information systems analysis and design grammars

Wand, Yair; Weber, Ron

doi:10.1111/j.1365-2575.1993.tb00127.x

Cited by 473 publications

(397 citation statements)

References 16 publications

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“…Its application to information systems foundations has been referred to by a number of researchers [10]. Some minor alterations have been carried out over the years by Wand and Weber [6,7] and Weber [11], but the current key constructs of the BWW model can be grouped into the following clusters: things including properties and types of things; states assumed by things; events and transformations occurring on things; and systems structured around things (see Appendix 1 for a complete list).…”

Section: Representation Theory In Information Systemsmentioning

confidence: 99%

“…• As the construct process [22] was not specified in the BWW representation model as defined in [6,7,11] we did not consider it in our comparison. …”

Section: Research Design and Overviewmentioning

confidence: 99%

“…Concerned that this situation would result in the development of information systems that were unable to capture completely important aspects of the real world, Wand and Weber [5][6][7] developed and refined a set of models for the evaluation of the representational capability of the modeling techniques and the scripts prepared using such techniques. These models are based on an ontology defined by Bunge [8] and are referred to as the Bunge-Wand-Weber (BWW) models.…”

Section: Representation Theory In Information Systemsmentioning

confidence: 99%

“…Constructs in the BWW representation model, assigned to cluster groups. Adapted from [6,11] A class is a set of things that can be defined via their possessing a single property.…”

Section: Conclusion Limitations and Future Researchmentioning

confidence: 99%

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A Study of the Evolution of the Representational Capabilities of Process Modeling Grammars

Rosemann

Recker

Indulska

et al. 2006

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract.A plethora of process modeling techniques has been proposed over the years. One way of evaluating and comparing the scope and completeness of techniques is by way of representational analysis. The purpose of this paper is to examine how process modeling techniques have developed over the last four decades. The basis of the comparison is the Bunge-Wand-Weber representation model, a benchmark used for the analysis of grammars that purport to model the real world and the interactions within it. This paper presents a comparison of representational analyses of several popular process modeling techniques and has two main outcomes. First, it provides insights, within the boundaries of a representational analysis, into the extent to which process modeling techniques have developed over time. Second, the findings also indicate areas in which the underlying theory seems to be over-engineered or lacking in specialization.

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Section: Representation Theory In Information Systemsmentioning

confidence: 99%

“…• As the construct process [22] was not specified in the BWW representation model as defined in [6,7,11] we did not consider it in our comparison. …”

Section: Research Design and Overviewmentioning

confidence: 99%

Section: Representation Theory In Information Systemsmentioning

confidence: 99%

“…Constructs in the BWW representation model, assigned to cluster groups. Adapted from [6,11] A class is a set of things that can be defined via their possessing a single property.…”

Section: Conclusion Limitations and Future Researchmentioning

confidence: 99%

See 2 more Smart Citations

A Study of the Evolution of the Representational Capabilities of Process Modeling Grammars

Rosemann

Recker

Indulska

et al. 2006

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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“…In our search, we specified that papers needed to be written in English and that they were published from 1993 to 2014. Since the paper of (Wand & Weber, 1993) can be seen as the first that introduces ontologies in evaluating conceptual modeling languages, we did not search for papers written before 1993.…”

Section: Phase 1 -Search Articles In Relevant Databases Based Upon Timentioning

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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