Business Semantics Alignment for Business Process Model Integration

Business Semantics Alignment for Business Process Model Integration

Janina Fengel
ISBN13: 9781466641815|ISBN10: 1466641819|EISBN13: 9781466641822
DOI: 10.4018/978-1-4666-4181-5.ch005
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MLA

Fengel, Janina. "Business Semantics Alignment for Business Process Model Integration." Research and Development in E-Business through Service-Oriented Solutions, edited by Katalin Tarnay, et al., IGI Global, 2013, pp. 91-112. https://doi.org/10.4018/978-1-4666-4181-5.ch005

APA

Fengel, J. (2013). Business Semantics Alignment for Business Process Model Integration. In K. Tarnay, S. Imre, & L. Xu (Eds.), Research and Development in E-Business through Service-Oriented Solutions (pp. 91-112). IGI Global. https://doi.org/10.4018/978-1-4666-4181-5.ch005

Chicago

Fengel, Janina. "Business Semantics Alignment for Business Process Model Integration." In Research and Development in E-Business through Service-Oriented Solutions, edited by Katalin Tarnay, Sandor Imre, and Lai Xu, 91-112. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-4181-5.ch005

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Abstract

Business process modeling has become an accepted means for designing and describing business operations. However, due to dissimilar utilization of modeling languages and, even more importantly, the natural language for labeling model elements, models can differ. As a result, comparisons are a non-trivial task that is presently to be performed manually. Thereby, one of the major challenges is the alignment of the business semantics contained, which is an indispensable pre-requisite for structural comparisons. For easing this workload, the authors present a novel approach for aligning business process models semantically in an automated manner. Semantic matching is enabled through a combination of ontology matching and information linguistics processing techniques. This provides for a heuristic to support domain experts in identifying similarities or discrepancies.

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