Authors:
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 40)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (7 chapters)
-
Front Matter
-
Foundations
-
Front Matter
-
-
Modeling Support through Verification and Composition
-
Front Matter
-
-
Finale
-
Front Matter
-
-
Back Matter
About this book
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.
Authors and Affiliations
-
School of Computer Science and Engineering, Mechanical Engineering Tutorial Buiolding, University on New South Wales, Sydney, Australia
Ingo M. Weber
Bibliographic Information
Book Title: Semantic Methods for Execution-level Business Process Modeling
Book Subtitle: Modeling Support Through Process Verification and Service Composition
Authors: Ingo M. Weber
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-642-05085-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-642-05084-8Published: 06 November 2009
eBook ISBN: 978-3-642-05085-5Published: 16 November 2009
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XII, 292
Topics: Information Storage and Retrieval, Business Mathematics, Computer Applications, Information Systems Applications (incl. Internet), IT in Business, Artificial Intelligence