Semantic Technologies for the Integration of Methods into an Enterprise Architecture
In order to face today’s challenges in product development, like product complexity, variability and a shortening of development cycles, for instance, in the automotive domain, the Product Development Process (PDP) tends to entail more and more virtual ta
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Abstract. In order to face today’s challenges in product development, like product complexity, variability and a shortening of development cycles, for instance, in the automotive domain, the Product Development Process (PDP) tends to entail more and more virtual tasks instead of physical, conventional ones, for example, implemented by Computer Aided x (CAx) technologies. The introduced novel approach promotes this transformation by supporting the appropriate stakeholders in formalizing, analyzing, assessing, comparing and hence selecting the most suitable methods, like physical and virtual design methods or CAx methods, that are utilized to execute these tasks. The separation of knowledge types by applying Semantic Technologies, like ontologies, rules and queries, enables the appropriate roles to manage this knowledge independently and in their own way, because (conceptual) domain knowledge, (operational) business rules and an implemented data model have different lifecycles, scopes and owners. Furthermore, this particular domain and business knowledge features interdependencies with remaining enterprise knowledge, including business processes, organizational aspects and the IT architecture, which is usually modeled in an Enterprise Architecture (EA). Therefore, we showcase the implementation and integration of a method meta model, method contexts, like metrics and product knowledge, and an EA using Semantic Technologies to promote the transparency, interchange, interconnection, synchronization, sharing, reusability, re-deployment, up-todateness and maintenance of this particular knowledge and consequently analyses and assessments based on it. Keywords: Methods · Modeling web · Enterprise architecture
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Ontologies
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SPARQL
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Semantic
Introduction
Newly emerging and changing markets and their diverse demands lead to an increased product variability, increasing functional complexity and regulatory requirements in the product development. Simultaneously, however, costs and development times shall be reduced and qualities increased which causes conflicting goals. One contribution to cope with these challenges is the introduction c Springer International Publishing Switzerland 2016 B. Shishkov (Ed.): BMSD 2015, LNBIP 257, pp. 62–79, 2016. DOI: 10.1007/978-3-319-40512-4 4
Integration and Analysis of Methods in an Enterprise Architecture
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and promotion of virtual product development which promises to overcome these defiances by substituting conventional, physical tasks with virtual ones. Thereby, the considered tasks can usually be repeated more often and performed faster at lower costs. Besides, Knowledge Management is simplified which increases process flexibility, because the regarded resources exist as data that can be managed and reused, supported by IT solutions, for instance, Computer Aided x (CAx) technologies. These tasks in a process are usually supported by numerous methods, for instance, design methods, which in turn are conducted by utilizing tools which implicates that one goal is to supersede c
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