ProSyWis: Concept and Prototype for Managing Knowledge-Intensive Processes

  • Business process infrastructures like BPMS (Business Process Management Systems) and WfMS (Workflow Management Systems) traditionally focus on the automation of processes predefined at design time. This approach is well suited for routine tasks which are processed repeatedly and which are described by a predefined control flow. In contrast, knowledge-intensive work is more goal and data-driven and less control-flow oriented. Knowledge workers need the flexibility to decide dynamically at run-time and based on current context information on the best next process step to achieve a given goal. Obviously, in most practical scenarios, these decisions are complex and cannot be anticipated and modeled completely in a predefined process model. Therefore, adaptive and dynamic process management techniques are necessary to augment the control-flow oriented part of process management (which is still a need also for knowledge workers) with flexible, context-dependent, goaloriented support.

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Metadaten
Document Type:Report
Language:English
Author:Rüdiger Buck-Emden
Pagenumber:17
ISBN:978-3-96043-014-8
ISSN:1869-5272
URN:urn:nbn:de:hbz:1044-opus-226
DOI:https://doi.org/10.18418/978-3-96043-014-8
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2014/11/21
Series (Volume):Technical Report / Hochschule Bonn-Rhein-Sieg University of Applied Sciences, Department of Computer Science (04-2014)
Tag:Adaptive Case Management; Declarative Process Modeling; Dynamic Case Management; Knowledge Worker; Knowledge-intensive Process; Process Automation
GND Keyword:Prozessautomation
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2014/11/21
Licence (Multiple languages):License LogoIn Copyright (Urheberrechtsschutz)