2021
DOI: 10.36680/j.itcon.2021.012
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Knowledge-based engineering in the context of railway design by integrating BIM, BPMN, DMN and the methodology for knowledge-based engineering applications (MOKA)

Abstract: Designing railway infrastructure is a knowledge-intensive task. Although there are a number of mature design authoring systems available, their support for dynamically incorporating domain-specific engineering knowledge is very limited. At the same time, a standardized digital representation of railway engineering knowledge (such as building codes and best practice) does not exists. To overcome this deficiency, this paper proposes the use of Knowledge Based Engineering (KBE) to automate routine design tasks by… Show more

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Cited by 7 publications
(9 citation statements)
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References 76 publications
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“…Morphological approaches are successfully used in knowledge-based engineering systems (KBE-Knowledge-Based Engineering) [6,7]. For example, KBE systems are defined as: "A rule-based expert system contains a knowledge base, inference engine, knowledge retrieval, explanation tools, and user interface" [8,9]. Classical methods of morphological analysis have a number of drawbacks.…”
Section: Morphological Methodsmentioning
confidence: 99%
“…Morphological approaches are successfully used in knowledge-based engineering systems (KBE-Knowledge-Based Engineering) [6,7]. For example, KBE systems are defined as: "A rule-based expert system contains a knowledge base, inference engine, knowledge retrieval, explanation tools, and user interface" [8,9]. Classical methods of morphological analysis have a number of drawbacks.…”
Section: Morphological Methodsmentioning
confidence: 99%
“…On this basis, an automatic workflow is established to convert the original design data into the corresponding BIM model. Optimization of design in railway construction using BIM is also addressed in other works [32,[45][46][47][48][49][50]. Test of the possibilities and capabilities of storing GIS data in the open standard Industry Foundation Classes (IFC) for BIM was solved in [51].…”
Section: Bim In Railway Transportmentioning
confidence: 99%
“…This is intuitively clear to the domain experts due to the experience and knowledge they possess: factual ("know what"), operational ("know-how"), normative ("know why"), etc. (Häußler and Borrmann, 2021). However, in the context of software development, the following question arises: how to translate that knowledge into requirements of the software engineering domain?…”
Section: Motivating Examplementioning
confidence: 99%
“…When these are not followed, multiple issues can arise. Failing to involve the users to a sufficient degree or to consider their feedback properly leads to misunderstanding, misinterpretation of the requirements, incompleteness, and inconsistency (Arayici et al, 2006, Häußler andBorrmann, 2021). Missing specification templates and examples may lead to hidden divergence of definitions, e.g., of fundamental terms like "constraint" or "objective", even "requirement" (Parsanezhad et al, 2016.…”
Section: Best Practices and Issuesmentioning
confidence: 99%