From Data Modeling to Knowledge Engineering in Space System Design
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 automa...
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Format: | Electronic Book Chapter |
Language: | English |
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KIT Scientific Publishing
2017
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Hennig, Christian |4 auth | |
245 | 1 | 0 | |a From Data Modeling to Knowledge Engineering in Space System Design |
260 | |b KIT Scientific Publishing |c 2017 | ||
300 | |a 1 electronic resource (xiii, 281 p. p.) | ||
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520 | |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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653 | |a Web Ontology Language | ||
653 | |a Datenmodellierung | ||
653 | |a Raumfahrttechnik | ||
653 | |a System Engineering | ||
653 | |a Knowledge Engineering | ||
653 | |a Data Modeling | ||
653 | |a Systemtechnik | ||
653 | |a Astronautics | ||
653 | |a Wissensverarbeitung | ||
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856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/48102 |7 0 |z DOAB: description of the publication |