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210512 ||| eng |
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|a 1000073688
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|a 9783731507208
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|a Hennig, Christian
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| 245 |
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|a From Data Modeling to Knowledge Engineering in Space System Design
|h Elektronische Ressource
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| 260 |
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|b KIT Scientific Publishing
|c 2017
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| 300 |
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|a 1 electronic resource (xiii, 281 p. p.)
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| 653 |
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|a Web Ontology Language
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| 653 |
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|a Business strategy / bicssc
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| 653 |
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|a Raumfahrttechnik
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| 653 |
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|a Knowledge Engineering
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| 653 |
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|a Systemtechnik
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| 653 |
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|a Astronautics
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| 653 |
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|a System Engineering
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| 653 |
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|a Datenmodellierung
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| 653 |
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|a Data Modeling
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| 653 |
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|a Wissensverarbeitung
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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| 028 |
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|a 10.5445/KSP/1000073688
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| 856 |
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|u https://directory.doabooks.org/handle/20.500.12854/48102
|z DOAB: description of the publication
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|u https://www.ksp.kit.edu/9783731507208
|7 0
|x Verlag
|3 Volltext
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|a 400
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|a 620
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|a 330
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|a The technologies currently employed for modeling complex systems, such as aircraft, spacecraft, or infrastructures, are sufficient for system description, but do not allow deriving knowledge about the modeled systems. This work provides the means to describe space systems in a way that allows automating activities such as deriving knowledge about critical parts of the system's design, evaluation of test success, and identification of single points of failure.
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