Abstract
In this workshop paper an experiment is designed which evaluates the use of an enterprise modeling language that was developed with the Resource Event Agent enterprise ontology and the Unified Foundational ontology as a theoretical base. The effect of using the ontology-driven modeling language is analyzed using Moody’s Method Evaluation Model which contains both actual and perception-based variables for measuring the efficiency and effectiveness of the used method.
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References
Wand, Y., Weber, R.: An Ontological Model of an Information System. IEEE Transactions on Software Engineering 16, 1282–1292 (1990)
Wand, Y., Storey, V.C., Weber, R.: An Ontological Analysis of the Relationship Construct in Conceptual Modeling. ACM Transactions on Database Sysems 24 (1999)
Evermann, J., Wand, Y.: Ontology based object-oriented domain modelling: fundamental concepts. Requirements Engineering 10, 146–160 (2005)
Tairas, R., Mernik, M., Gray, J.: Using Ontologies in the Domain Analysis of Domain-Specific Languages. In: Chaudron, M.R.V. (ed.) MODELS 2008. LNCS, vol. 5421, pp. 332–342. Springer, Heidelberg (2009)
Gruninger, M., Lee, J.: Ontology Applications and Design: Introduction. Communications of the ACM 45, 39–41 (2002)
Henderson-Sellers, B.: Bridging metamodels and ontologies in software engineering. Journal of Systems and Software 84 (2011)
Guizzardi, G.: Ontological Foundations for Structural Conceptual Models. TelematicaInstituut cum laude. University of Twente, Twente (2005)
Gailly, F., Geerts, G., Poels, G.: Ontology-driven development of a domain-specific modeling language: the case of an enterprise modeling language. FEB working paper series. Ghent University (2011)
Geerts, G., McCarthy, W.E.: An Accounting Object Infrastructure for Knowledge Based Enterprise Models. IEEE Intelligent Systems and Their Applications 14, 89–94 (1999)
Benevides, A.B., Guizzardi, G.: A Model-Based Tool for Conceptual Modeling and Domain Ontology Engineering in OntoUML. In: Filipe, J., Cordeiro, J. (eds.) Enterprise Information Systems. LNBIP, vol. 24, pp. 528–538. Springer, Heidelberg (2009)
Poels, G., Maes, A., Gailly, F., Paemeleire, R.: The pragmatic quality of Resources- Events-Agents diagrams: an experimental evaluation. Information Systems Journal 21, 63–89 (2011)
Poels, G.: Understanding Business Domain Models: The Effect of Recognizing Resource-Event-Agent Conceptual Modeling Structures. Journal of Database Management 21 (2011)
Moody, D.: The Method Evaluation Model: A Theoretical Model for Validating Information Systems Design Methods. In: 11th European Conference on Information Systems, ECIS 2003 (2003)
Topi, H., Ramesh, V.: Human Factors research on Data Modeling: A review of Prior Research, An extended Framework and Future Research Directions. Journal Database Management 13, 3–19 (2002)
Moreno, R., Mayer, R.E.: Cognitive Principles of Multimedia Learning: The Role of Modality and Contiguity. Journal of Educational Psychology 91, 358–368 (1999)
Davis, F.D.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13, 319–340 (1989)
Maes, A., Poels, G.: Evaluating quality of conceptual modelling scripts based on user perceptions. Data & Knowledge Engineering 63, 701–724 (2007)
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Gailly, F., Poels, G. (2011). Experimental Evaluation of an Ontology-Driven Enterprise Modeling Language. In: De Troyer, O., Bauzer Medeiros, C., Billen, R., Hallot, P., Simitsis, A., Van Mingroot, H. (eds) Advances in Conceptual Modeling. Recent Developments and New Directions. ER 2011. Lecture Notes in Computer Science, vol 6999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24574-9_22
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DOI: https://doi.org/10.1007/978-3-642-24574-9_22
Publisher Name: Springer, Berlin, Heidelberg
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