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Dane Sorensen University of Arizona - Eller College of Management Anthony Pastiak University of Arizona - Eller College of Management Amit Mitra University of Arizona - Eller College of Management Amar Gupta University of Arizona - Eller College of Management
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07 Jun 06
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Last Revised:
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14 Jun 06
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153 (58,402)
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Abstract:
The Semantics for Business Vocabulary and Business Rules (SBVR) was released in 2005 by the Object Modeling Group (OMG) as the industry standard for business semantics. However, the lack of an integrated ontology limits the reasoning ability of SBVR. The purpose of this paper is to outline the metamodel of ontology taught in the Accelerating Business Process Engineering and Systems Development with Reusable Business Knowledge course at the University of Arizona, and display how integration into the SBVR could improve future releases of the standard. As supplements to the course material, materials from three books by Amit Mitra and Amar Gupta were referenced. We will illustrate how the integration of the metamodel of ontology could enable the SBVR to reason and thus provide the requisite agility to create resilient business processes and agile automation. We will also attempt to reconcile terms and describe gaps between the models taught in the course mentioned above; as referenced to throughout this paper as AMAG models, and SBVR.
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Igor Crk University of Arizona - Department of Computer Science Dane Sorensen University of Arizona - Eller College of Management Amit Mitra University of Arizona - Eller College of Management Amar Gupta University of Arizona - Eller College of Management
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| Posted: |
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26 Sep 07
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Last Revised:
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28 Feb 09
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62 (111,964)
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Abstract:
Collaborative work groups that span multiple locations and time zones, or "follow the sun," create a growing demand for creating new technologies and methodologies that enable traditional spatial and temporal separations to be surmounted in an effective and productive manner. The hurdles faced by members of such virtual teams are in three key areas: differences in concepts and terminologies used by the different teams, differences in understanding the problem domain under consideration, and differences in training, knowledge, and skills that exist across the teams. These reasons provide some of the basis for the delineation of new architectural approaches that can normalize knowledge and provide reusable artifacts in a knowledge repository.
Knowledge Reuse, Agility, Offshore Outsourcing, Outsourcing, 24-Hour Knowledge Factory, Object Management, Metamodeling, Modeling, Software Factory
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