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Data Model Development for Process Modeling Recommender Systems
Abstract : The manual construction of business process models is a time-consuming and error-prone task. To ease the construction of such models, several modeling support techniques have been suggested. However, while recommendation systems are widely used e.g. in e-commerce, such techniques are rarely implemented in process modeling tools. The creation of such systems is a complex task since a large number of requirements and parameters have to be addressed. In order to improve the situation, we develop a data model that can serve as a backbone for the development of process modeling recommender systems (PMRS). We systematically develop the model in a stepwise approach using established requirements and validate it against a data model that has been reverse-engineered from a real-world system. We expect that our contribution will provide a useful starting point for designing the data perspective of process modeling recommendation features.
Cited literature [16 references]
https://hal.inria.fr/hal-01653517
Contributor : Hal Ifip <>
Submitted on : Friday, December 1, 2017 - 3:15:20 PM
Last modification on : Friday, January 8, 2021 - 4:54:06 PM
Contributor : Hal Ifip <>
Submitted on : Friday, December 1, 2017 - 3:15:20 PM
Last modification on : Friday, January 8, 2021 - 4:54:06 PM
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416579_1_En_7_Chapter.pdf
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Distributed under a Creative Commons Attribution 4.0 International License