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The ontology modeling practice of engineering metaproperties of concepts is a well-known technique. Some metaproperties of concepts describe the dynamics of concept instances, i.e. how instances can and cannot be altered. We investigate how deletions in an ontology-based knowledge base interact with the metaproperties rigidity and dependence. A particularly useful effect are delete cascades. We evaluate how rigidity and dependence may guide delete cascades in an engineering application. A case study in the area of product development shows that beyond explicitly defined deletions, our approach achieves further automated and desirable deletions of facts with high precision and good recall.

When reusing product knowledge in design processes, developers have to decide which knowledge elements are relevant for a task. Thus, mechanisms of knowledge removal are vital for a successful reuse, but are not yet assisted by procedure models. This contribution introduces Intentional Forgetting as a methodology of intelligent removal processes in ontological knowledge bases. The aim is to support developers by providing relevant contents for reuse systematically. The development process of a testrig, that is highly based on knowledge reuse, is considered as use case.

Kurzfassung Das Arbeitsumfeld von Produktentwicklern und Konstrukteuren unterliegt einem ständigen Wandel. Die fortschreitende Globalisierung der Märkte, der steigenden Innovationsdruck und die erhöhten Individualität und Dynamik der einzelnen Absatzregionen, lassen die Anforderungen an Produkte sowie an Produktentstehungsprozesse immer differenzierter werden. Der Lehrstuhl für Konstruktionstechnik (KTmfk) der Friedrich-Alexander Universität Erlangen-Nürnberg (FAU) erforscht Data-Mining-Lösungen für die Produktentstehung, die den Unternehmen helfen mit dieser Entwicklung Schritt halten zu können.

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