Synergizing standard and ad-hoc processes

Authors:
Andreas S. Rath;Mark Kröll;Keith Andrews;Stefanie Lindstaedt;Michael Granitzer;Klaus Tochtermann
Affiliations:
Know-Center Graz, Graz, Austria;Know-Center Graz, Graz, Austria;Institute for Information Systems and Computer Media (IICM), Graz University of Technology, Graz, Austria;Know-Center Graz, Graz, Austria;Know-Center Graz, Graz, Austria;Know-Center Graz, Graz, Austria
Venue:
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
Year:
2006

Citing 9
Cited 1

Graph Drawing: Algorithms for the Visualization of Graphs

Graph Drawing: Algorithms for the Visualization of Graphs
Process mining: a research agenda

Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs

IEEE Transactions on Knowledge and Data Engineering
Multiscale hybrid MDS

IV '04 Proceedings of the Information Visualisation, Eighth International Conference
TaskTracer: a desktop environment to support multi-tasking knowledge workers

Proceedings of the 10th international conference on Intelligent user interfaces
Case handling: a new paradigm for business process support

Data & Knowledge Engineering
A novel approach for process mining based on event types

Journal of Intelligent Information Systems
Revealed processes in knowledge management

WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
Knowledge, action, and context: impact on knowledge management

WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management

Proactive knowledge management: the DYONIPOS research and use-case project

Proceedings of the 1st international conference on Theory and practice of electronic governance

Quantified Score

Hi-index	0.00

Visualization

Abstract

In a knowledge-intensive business environment, knowledge workers perform their tasks in highly creative ways. This essential freedom required by knowledge workers often conflicts with their organization's need for standardization, control, and transparency. Within this context, the research project DYONIPOS aims to mitigate this contradiction by supporting the process engineer with insights into the process executer's working behavior. These insights constitute the basis for balanced process modeling. DYONIPOS provides a process engineer support environment with advanced process modeling services, such as process visualization, standard process validation, and ad-hoc process analysis and optimization services.