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• W2074429246 abstract "Many enterprises are reflected on strategies and tools that facilitate the knowledge sharing and exploiting the collective intelligence among their actors. Economic intelligence actors collaborate to solve a decisional problem, they use significant mental effort, and so they share a common knowledge that can indicate to other actors directions to follow or avoid. Indeed, whenever an actor explores knowledge or a relevant document, it enriches the collective knowledge of the memory via annotations. To ensure this collaboration in solving a decisional problem among actors in a context of economic intelligence, in this article we propose a conceptual model using ontologies to represent collaborative semantic annotations between economic intelligence actors in order to capitalise on and reuse the knowledge shared in a collective memory." @default.
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• W2074429246 date "2014-01-01" @default.
• W2074429246 modified "2023-10-16" @default.
• W2074429246 title "Collective memory based on semantic annotation among economic intelligence actors" @default.
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• W2074429246 doi "https://doi.org/10.1504/ijci.2014.064850" @default.
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