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Business Process Management Workshops - BPM 2008 International Workshops, Milano, Italy, September 1-4, 2008, Revised Papers (Paperback, 2009 ed.)
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Business Process Management Workshops - BPM 2008 International Workshops, Milano, Italy, September 1-4, 2008, Revised Papers (Paperback, 2009 ed.)
Series: Lecture Notes in Business Information Processing, 17
Expected to ship within 10 - 15 working days
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Theseproceedingscontainthe?nalversionsofpapersacceptedfortheworkshops
that were held in conjunction with the 6th International Conference
on Bu- ness Process Management (BPM 2008) that took place in Milan,
Italy. Thirteen workshop proposals were submitted for this
conference, nine of which were - lected, and ultimately they ran
concurrentlyon September 1,2008.This wasthe fourth year running for
BPM workshops, a testament to the continued success of the workshop
program. This year the workshops included some new emerging areas:
Business Process Management and Social Softwarefocusedonthe-
teraction of social software and the underlying paradigm of social
prod- tion with business processes, by exploring how social
software and social production interact with business process
management, how business p- cess management has to change to comply
with social production, and how business processes may pro?t from
social techniques. Model-Driven Engineering for Business Process
Management was about the application of model-driven engineering to
business process m- agement,byfocusing on researchproblems that
arisewhen the model-driven engineering and development methodology
is applied to automate the whole lifecycle of business process
modeling artifacts (e.g., automatically mapping high-level business
process models to executable IT-level work?ows). Process Management
for Highly Dynamic and Pervasive Scenarios recognized how nowadays
process management systems are also being used in pervasive and
highly dynamic situations, such as emergency management, pervasive
healthcare and ambient intelligence, thus requiring novel
approaches merging traditional BPM with arti?cial intelligence,
agent programming and robotics.
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