=Paper=
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|pdfUrl=https://ceur-ws.org/Vol-682/introduction.pdf
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<pdf width="1500px">https://ceur-ws.org/Vol-682/introduction.pdf</pdf>
<pre>
                            Introduction

The 5th International workshop on Semantic Business Process
Management continues the tradition of previous workshops from this
serial: collecting and discussing new semantic-based approaches and
ideas for a more efficient BPM. This year the most important issue is the
semantic-based dynamicity in BPM systems, which very nice correlates
with the predictions that Gartner, Inc. for the next period:

By 2012, 20 per cent of customer-facing processes will be knowledge-
adaptable and assembled just in time to meet the demands and
preferences of each customer, assisted by BPM technologies.

Today's capability to proactively change processes is merely an interim
step for process improvement. The next evolution will be processes that
self-adjust based on the sensing of patterns in user preferences, consumer
demand, predictive capabilities, trending, competitive analysis and social
connections.

By 2013, dynamic BPM will be an imperative for companies seeking
process efficiencies in increasingly chaotic environments.

IT organisations are striving to become better aligned with the demands
placed on the business. Pressure to reduce the latency of change in
business processes is driving a need for more dynamic and systematised
measures. Adopting a more dynamic form of BPM, which focuses on
enabling process changes to occur when and as needed will enable
organisations to better respond to unanticipated change requirements in
business processes, and to handle process changes more effectively.
More than a half of papers are dealing with the different approaches for
managing this dynamics in business processed by using semantic
technologies. Rest of the papers is targeting the dynamicity from the
modeling point of view (design time). Therefore, this workshop is a nice
opportunity for exchanging ideas and starting new cooperation in this
domain, as it was in the past.




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