Business like language for semantic rules
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2023
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Bachelor
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
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Fachhochschule Nordwestschweiz FHNW
Abstract
Based on all previous studies, this paper aims to extend capabilities further, providing a solution for semantic rules inside of AOAME (Agile, and Ontology-Aided Modeling Environment). AOAME is a web-based modeling environment used at the FHNW. This tool allows extending existing modeling languages such as SAP Scenes, ArchiMate, BPMN, and many others. The semantic rules, defined in SHACL (Shapes Constraint Language), are designed to validate data. The overall quality of data can be thus enhanced by implementing these rules.
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English
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Yes
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Review
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Citation
Buga, K. (2023). Business like language for semantic rules [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/42237