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02970nam a22005655i 4500 |
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978-3-642-05085-5 |
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DE-He213 |
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20151204161911.0 |
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cr nn 008mamaa |
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100301s2009 gw | s |||| 0|eng d |
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|a 9783642050855
|9 978-3-642-05085-5
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|a 10.1007/978-3-642-05085-5
|2 doi
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|d GrThAP
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|a QA75.5-76.95
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|a UNH
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|a UND
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|a COM030000
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|a 025.04
|2 23
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|a Weber, Ingo M.
|e author.
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|a Semantic Methods for Execution-level Business Process Modeling
|h [electronic resource] :
|b Modeling Support Through Process Verification and Service Composition /
|c by Ingo M. Weber.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2009.
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|a XII, 292 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Business Information Processing,
|x 1865-1348 ;
|v 40
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|a Foundations -- Background -- Modeling Support through Verification and Composition -- Requirements Analysis and Conceptual Framework -- Verification of Annotated Process Models -- Task Composition -- Finale -- Evaluation -- Conclusions and Outlook.
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|a Ingo Weber develops new approaches for the rapid development and flexible adaption of business processes, which are often the main requirements in today’s IT support for enterprises. Key issues covered by his work are the automatic composition of processes out of predefined components and the verification of specific process properties. His research aims at quickly creating executable process models, which orchestrate the usage of Web services. He investigates how process modelers can be supported by semantic technologies, e.g., by semantically enriched process models or annotated Web services, and puts special emphasis on expressiveness and scalability.
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|a Computer science.
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|a Information technology.
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|a Business
|x Data processing.
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|a Business mathematics.
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|a Information storage and retrieval.
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|a Artificial intelligence.
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|a Application software.
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|a Computer Science.
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|a Information Storage and Retrieval.
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|a Business Mathematics.
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|a Computer Applications.
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|a Information Systems Applications (incl. Internet).
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|a IT in Business.
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|a Artificial Intelligence (incl. Robotics).
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642050848
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|a Lecture Notes in Business Information Processing,
|x 1865-1348 ;
|v 40
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|u http://dx.doi.org/10.1007/978-3-642-05085-5
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a Computer Science (Springer-11645)
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