Knowledge-driven architecture composition


Burzlaff, Fabian



DOI: https://doi.org/10.18420/in2017_240
URL: https://dl.gi.de/handle/20.500.12116/4015
Additional URL: https://dblp.org/db/conf/gi/gi2017.html
Document Type: Conference or workshop publication
Year of publication: 2017
Book title: 47. Jahrestagung der Gesellschaft für Informatik, Informatik 2017, Chemnitz, Germany, September 25-29, 2017
The title of a journal, publication series: Lecture Notes in Informatics
Volume: 275
Page range: 2365-2370
Conference title: GI-Jahrestagung 2017
Location of the conference venue: Chemnitz, Germany
Date of the conference: 25.-29.9.2017
Publisher: Eibl, Maximilian
Place of publication: Bonn
Publishing house: Gesellschaft für Informatik e.V.
ISBN: 978-3-88579-669-5
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: Automating 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.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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