Collective memory based on semantic annotation among economic intelligence actors

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.

The role of the diaspora in the emergence of economic and territorial intelligence in Haiti

“…From the above definitions, knowledge and innovation appear as important elements in EI and TI (Girardot and Brunau, 2010). So too is a high level of collaboration among different actors (Aissa, et al, 2014;Girardot, 2010) with knowledge and cooperation being central to TI and EI (Aissaet al 2014;Girardot, 2010), it is natural to wonder if all countries can nurture EI and TI. Our view is that poor countries and developed countries are not equal when it comes to innovation and knowledge and subsequently intelligence, especially in contexts of conflict which fuel the migration of some of the most skilled and talented.…”