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dc.contributor.authorHennig, Christian*
dc.date.accessioned2021-02-11T14:06:18Z
dc.date.available2021-02-11T14:06:18Z
dc.date.issued2017*
dc.date.submitted2019-07-30 20:01:59*
dc.identifier34823*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/48102
dc.description.abstractThe 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.*
dc.languageEnglish*
dc.subjectHF5001-6182*
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJC Business strategyen_US
dc.subject.otherWeb Ontology Language*
dc.subject.otherDatenmodellierung*
dc.subject.otherRaumfahrttechnik*
dc.subject.otherSystem Engineering*
dc.subject.otherKnowledge Engineering*
dc.subject.otherData Modeling*
dc.subject.otherSystemtechnik*
dc.subject.otherAstronautics*
dc.subject.otherWissensverarbeitung*
dc.titleFrom Data Modeling to Knowledge Engineering in Space System Design*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000073688*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731507208*
oapen.pagesxiii, 281 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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