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Knowledge-driven Architecture Composition

dc.contributor.authorBurzlaff, Fabian
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:47:58Z
dc.date.available2017-08-28T23:47:58Z
dc.date.issued2017
dc.description.abstractAutomating component coupling has been around for various decades. In fact, in the last few years’ interface and component matching progress seems not to be regarded as a hot-topic in research. However, reappearing paradigms such as decentralized and flexible production scenarios are again in need for automated system coupling. This is mainly due to the increasing number of heterogeneous devices. Building upon existing component integration research, this PhD project introduces case-based reasoning techniques for formalizing integration knowledge to overcome standardization requirements. As a consequence, integration knowledge becomes reusable.en
dc.identifier.doi10.18420/in2017_240
dc.identifier.isbn978-3-88579-669-5
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectKnowledge-driven architecture composition
dc.subjectInteroperability
dc.subjectSemantic Integration
dc.subjectDynamic Adaptable Systems
dc.subjectIndustrial Internet of Things
dc.titleKnowledge-driven Architecture Compositionen
dc.title.subtitleOn the usage of case-based formalization methods for reliable and automated component couplingen
gi.citation.endPage2370
gi.citation.startPage2365
gi.conference.date25.-29. September 2017
gi.conference.locationChemnitz
gi.conference.sessiontitleDoktorandensymposium

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