Special Track on Task and Process Exploration and Modelling
Special Track Information
The I-KNOW 2007 Special Track on Task and Process Exploration and Modelling is the fourth in a series. This event aims to show and discuss approaches, concepts, ideas, instruments and systems that address the support for knowledge workers as an individual and knowledge intensive business processes in organizations.
Knowledge-intensive work plays an important role in organizations of all types. In a knowledge-intensive business environment, knowledge workers typically need significant flexibility in structuring their activities in order to react to ever changing business needs. Since their work is highly goal oriented, it is rather difficult to model it in advance and provide support for knowledge workers. This essential freedom required by knowledge workers often conflicts with their organization’s need for standardization, control, and transparency.
Business Process Management has been understood as a top-down approach in the last years. Since the number of knowledge workers in organizations is steadily increasing, the trend seems to go into the direction of complementing the pre-modelled top-down process model by bottom-up modelling approaches. Business Process Monitoring (BAM) and event/tasks/process mining utilize usage data from live process management systems, from workflow systems or from the users’ desktops. This usage data extends the process modelling scope with an additional view on the process execution environment.
In contrast to the well researched and applied top-down approaches to business process modelling and management the Task and Process Exploration and Modelling (TPEM) tries to find answers to the following guiding research questions:
To what extend is knowledge work capturing possible? Barriers? Challenges?
Can knowledge work be modelled or derived from usage data? Do knowledge work patterns exist and how can they be automatically discovered?
What is the impact of usage data analysis on knowledge work support and business process modelling and management?
For this special track we invite submissions that deal with issues including, but not limited to:
Identification and modelling of knowledge work and knowledge intensive business processes
Similarity measures for knowledge intensive task and processes
Recognition of similar tasks of knowledge workers
Task to process alignment
Task and process models for knowledge intensive work
Clustering and classification of tasks / processes
Semantic representation of tasks / processes
Task and process patterns
Task and process extraction from natural language
Task and process exploration
Ad-hoc process detection
Event, task and process context
Visualization of knowledge work
Standard vs. ad-hoc tasks / processes
Event / task / process mining
Identification and modelling of a knowledge worker’s context
Business process oriented knowledge work support
Barriers & limits of knowledge work support
Domain-specific approaches and experiences to knowledge intensive business process support
related tools, applications and systems
02 April 2007: Submission of Full Papers (4-8 pages)
21 May 2007: Notification of Acceptance
25 June 2007: Final Versions (8 pages)
5 September 2007: TPEM'07 Special Track
Submissions should be handed in as full papers and should not exceed 8 pages.
File Types: Word for Windows, Postscript (PS)
Paper Submission System:
In case of problems or questions concerning the submission of papers, please
contact the track chairs at firstname.lastname@example.org .
Notification of Acceptance and Publishing
Accepted papers will be published within the I-KNOW '07 conference proceedings most likely in cooperation with Springer Co. Pub. At least one author of an accepted paper must register for I-KNOW ’07 before the deadline for Final Versions (25 June 2007).
Chairs of TPEM ‘07
The organization team of the special track on Task and Process Exploration and Modelling consists of the following people:
Andreas S. Rath, Know-Center Graz (Austria)
Nicolas Weber, Know-Center Graz (Austria)
Stefanie Lindstaedt, Know-Center Graz (Austria)
Markus Strohmaier, Know-Center Graz (Austria) and University of Toronto (Canada)
Andreas Abecker, FZI Competence Center for Business Software, Germany
Schahram Dustdar, Vienna University of Technology, Austria
Norbert Gronau, Universität Potsdam, Germany
Peter Heisig, European Research Center for Knowledge and Innovation, Germany
Harald Holz, German Research Center for Artificial Intelligence (DFKI), Germany
Ronald Maier, Leopold-Franzens-University of Innsbruck, Austria
Jan Mendling, Vienna University of Economics and Business Administration, Austria
Gil Regev, Ecole Polytechnique Fédérale de Lausanne, Switzerland
Uwe Riss, SAP Research Karlsruhe, Germany
A.J.M.M. Weijters, Technische Universiteit Eindhoven, The Netherlands
To be completed.
letzte Änderung: 07/09/2009 09:02:50 AM