Collective Intelligence Management on Digital Agriculture Resources
نویسندگان
چکیده
To efficiently support collaborative semantic management of digital resources, this paper introduces MetaSemflow, a vertical semantic flow of metadata integration to capitalize on the diversity of available metadata sets. In this paper, we aim at applying our approach on digital resources shared between agricultural communities. MetaSemflow proposes a metadata inheritance integration by combining a multi-faceted resource categorization approach with a context-aware topic maps-based semantic management (e.g. 5W1H model). This original approach has been proposed as the core semantic model of the Collective Intelligent Ecosystem (CIE) Project.
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تاریخ انتشار 2008