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Erschienen in: Information Systems and e-Business Management 4/2008

01.09.2008 | Original Article

Pattern-based knowledge workflow automation: concepts and issues

verfasst von: Surendra Sarnikar, J. Leon Zhao

Erschienen in: Information Systems and e-Business Management | Ausgabe 4/2008

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Abstract

As the result of business process automation, more and more knowledge is codified and stored in knowledge repositories and scattered in employees’ computers across functionally and geographically separated business units. While several alternative mechanisms such as chat rooms, search engines, recommender systems exist to retrieve and access knowledge, satisfying a knowledge requirement often involves the coordination of multiple tasks and the use of several technologies. However, there is no existing technology for orchestrating various collaboration, communication and information retrieval components to satisfy the knowledge needs in corporations. In order to address this gap, we propose the approach of pattern-based knowledge workflow that can enable the automation of knowledge flows across an organization. In this paper, we present an overview of the pattern-based knowledge workflow approach and propose extensions to the conventional workflow paradigm. We demonstrate the feasibility of implementing knowledge workflows by means of a Business Process Execution Language (BPEL) specification for executing knowledge workflows in a business setting. We then discuss the engineering challenges and research issues that need to be addressed to further develop this approach.

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Fußnoten
1
Note that knowledge workflow patterns are different from workflow patterns (Van der Aalst et al. 2003). The latter are elementary syntactic patterns found in workflow models, but knowledge workflow patterns have semantic meaning.
 
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Metadaten
Titel
Pattern-based knowledge workflow automation: concepts and issues
verfasst von
Surendra Sarnikar
J. Leon Zhao
Publikationsdatum
01.09.2008
Verlag
Springer-Verlag
Erschienen in
Information Systems and e-Business Management / Ausgabe 4/2008
Print ISSN: 1617-9846
Elektronische ISSN: 1617-9854
DOI
https://doi.org/10.1007/s10257-007-0072-y

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