Knowledge-driven Architecture Composition
Author:
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.
- Citation
- BibTeX
Burzlaff, F.,
(2017).
Knowledge-driven Architecture Composition.
In:
Eibl, M. & Gaedke, M.
(Hrsg.),
INFORMATIK 2017.
Gesellschaft für Informatik, Bonn.
(S. 2365-2370).
DOI: 10.18420/in2017_240
@inproceedings{mci/Burzlaff2017,
author = {Burzlaff, Fabian},
title = {Knowledge-driven Architecture Composition},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 2365-2370 } ,
doi = { 10.18420/in2017_240 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Burzlaff, Fabian},
title = {Knowledge-driven Architecture Composition},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 2365-2370 } ,
doi = { 10.18420/in2017_240 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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More Info
DOI: 10.18420/in2017_240
ISBN: 978-3-88579-669-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2017
Language:
(en)

Keywords
Collections
- P275 - INFORMATIK 2017 [266]