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https://doi.org/10.5772/9554...
Part of book or chapter of book . 2010 . Peer-reviewed
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An Ontological Framework for Knowledge Management in Systems Engineering Processes

Authors: Chourabi, Olfa; Pollet, Yann; Benahmed, Mohamed;

An Ontological Framework for Knowledge Management in Systems Engineering Processes

Abstract

Systems Engineering (SE) processes comprise highly creative and knowledge-intensive tasks that involve extensive problem-solving and decision-making activities among interdisciplinary teams (Meinadier, 2002). SE projects involve the definition of multiple artifacts that present different formalization degrees, such as requirements specification, system architecture, and hardware/ software components. Transitions between the project phases stem from decision making processes supported both by generally available domain and design knowledge. We argue that Knowledge about engineering processes constitutes one of the most valuable assets for SE organizations. Most often, this knowledge is only known implicitly, relying heavily on the personal experience background of system engineers. To fully exploit this intellectual capital, it must be made explicit and shared among project teams. Consistent and comprehensive knowledge management methods need to be applied to capture and integrate the individual knowledge items emerging in the course of a system engineering project.

Country
France
Keywords

[INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO] Computer Science [cs], [INFO.INFO-ES] Computer Science [cs]/Embedded Systems

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
hybrid