Knowledge Engineering or Digital Humanities?

Territorial Intelligence, a Case in Point
  • Francis Rousseaux
  • Pierre SaurelEmail author
  • Jean Petit
Part of the Studies in Computational Intelligence book series (SCI, volume 514)


Knowledge Engineering (KE) usually deals with representation and visualization challenges, sometimes socio or bio inspired, collective aspects being quite often taken into account. Nevertheless with knowledge-based Territorial Intelligence, KE is faced with natively situated know-how, distributed hope and network-centered emerging organizations, as far as this domain aims at providing tools to support and develop our local and territorial communities. Furthermore knowledge-based Territorial Intelligence has to cope with its own paradoxes and success, to challenge its sustainable existence: as a matter of fact, thanks to big data and its digital tools, people may have thought that they where living in a global village, territories-independent, practicing a perpetual nomadism. So they now require participation for defining their collective policies and social perspectives, leading to their common sustainable development. How knowledge-based Territorial Intelligence will manage to make available efficient solutions to support and develop our original way to collectively inhabit places and earth? That is the question we try to present throughout some technical and scientific aspects along this dedicated chapter.


Sustainable Development Geographical Information System Simplicial Complex Knowledge Engineer Collective Intelligence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Thanks to Eddie Soulier, Jacky Legrand, Florie Bugeaud, Houda Neffati and Philippe Calvez for their scientific collaboration and support during that research. Thanks to Catherine Gerber for her support during the English translation process. Thanks to the CPER AidCrisis Project and the French Ministry of Research that supported most of related research. Thanks to the mayor of Les Abymes for helping us collecting the local data.


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© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.CReSTICUniversity of Reims Champagne-ArdenneReimsFrance
  2. 2.Sciences Normes DécisionUniversity of Paris-SorbonneParisFrance

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