25 Challenges of Semantic Process Modeling

Mendling, Jan and Leopold, Henrik and Pittke, Fabian (2014) 25 Challenges of Semantic Process Modeling. International Journal of Information Systems and Software Engineering for Big Companies (IJISEBC), 1 (1). pp. 78-94. ISSN 2387-0184

Available under License Creative Commons: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

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Process modeling has become an essential part of many organizations for documenting, analyzing and redesigning their business operations and to support them with suitable information systems. In order to serve this purpose, it is important for process models to be well grounded in formal and precise semantics. While behavioural semantics of process models are well understood, there is a considerable gap of research into the semantic aspects of their text labels and natural language descriptions. The aim of this paper is to make this research gap more transparent. To this end, we clarify the role of textual content in process models and the challenges that are associated with the interpretation, analysis, and improvement of their natural language parts. More specifically, we discuss particular use cases of semantic process modeling to identify 25 challenges. For each challenge, we identify prior research and discuss directions for addressing them.

Item Type: Article
Keywords: Process modeling, Formal semantics, Natural language processing, System analysis and design
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Mendling
Version of the Document: Published
Depositing User: ePub Administrator
Date Deposited: 18 Jan 2018 09:00
Last Modified: 04 May 2018 10:57
Related URLs:
URI: https://epub.wu.ac.at/id/eprint/5983


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