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dc.contributor.authorLemcke, Jens*
dc.date.accessioned2021-02-12T02:55:21Z
dc.date.available2021-02-12T02:55:21Z
dc.date.issued2010*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35666*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/58910
dc.description.abstractIntegration of enterprise applications (EAI) and e-business integration are time-consuming and expensive. This thesis proposes pattern mining to determine identical object classes. Processes are integrated based on declared integration goals and known software behavior. A model-driven approach ensures consistent use of behavioral knowledge from development in integration. The contributions were applied to the CCTS Modeler Warp 10 and SAP NetWeaver CE (composition environment) developed at SAP.*
dc.languageEnglish*
dc.subjectHF5001-6182*
dc.subject.classificationbic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategyen_US
dc.subject.otherbusiness process integration*
dc.subject.othermodel-driven software development*
dc.subject.othersemantic Web services*
dc.subject.otherdata integration*
dc.subject.otherfrequent itemset mining*
dc.titleScalable Ontological EAI and e-Business Integration*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000018264*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783866445215*
oapen.pagesXVI, 209 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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