Abstract
Semantic Decision Rule Language (SDRule-L) is an extension to Object-Role Modelling language (ORM), which is one of the most popular fact based, graphical modelling languages for designing information systems. In this paper, we want to discuss how SDRule-L models can be formalized, analysed and applied in a business context. An SDRule-L model may contain static (e.g., data constraints) and dynamic rules (e.g., sequence of events). A reasoning engine is created for detecting inconsistency. When an SDRule-L model is used to manage linked data, a feasible way is to align SDRule-L with Semantic Web languages, e.g. OWL. In order to achieve this, we propose to map dynamic rules into a combination of static rules and queries for detecting anomalies. In this paper, we will illustrate a model reification algorithm for automatically transforming SDRule-L models that contain dynamic rules into the ones containing static rules, which can be formalized in Description Logic.
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Demey, Y.T., Debruyne, C. (2013). SDRule-L: Managing Semantically Rich Business Decision Processes. In: Huemer, C., Lops, P. (eds) E-Commerce and Web Technologies. EC-Web 2013. Lecture Notes in Business Information Processing, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39878-0_6
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DOI: https://doi.org/10.1007/978-3-642-39878-0_6
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