An overview of workflow management: from process modeling to workflow automation infrastructure
Distributed and Parallel Databases - Special issue on software support for work flow management
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
Weakly-structured Workflows for Knowledge-intensive Tasks: An Experimental Evaluation
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Operational Knowledge Representation for Practical Decision-Making
Journal of Management Information Systems
From data to knowledge to discoveries: Artificial intelligence and scientific workflows
Scientific Programming
Context modeling: task model and practice model
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Framing decision making at two levels
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
Task-Realization models in contextual graphs
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
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Scientific-Workflow (SWF) management is similar to practice management. However, SWFs are stored in a repository as independent items that are reused by other actors after a complex process of contextualization, decontextualization and recontextualization. Conversely, practices are contextualized procedures applicable in different contexts. SWFs are collected in repositories in a flat way independently of each other, while practices can be organized in a uniform representation of elements of knowledge, reasoning and contexts. This paper shows that SWF management may benefit of the contextual approach used for representing procedures and practices. We propose a three-step approach, namely a support to scientist for finding the right SWF in the repository, a generation of all the possible SWFs in a situation, and the interactive development of SWFs. Thus, a SWF system will be flexible enough to acquire new knowledge incrementally and learn new ways for SWF building from scientists. A challenge for the short term is the possibility to model cooperation by the coupling of actors' task representation through a shared context.