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Zarri, Gian Piero – Information Processing and Management, 1990
Describes a conceptual Knowledge Representation Language (KRL) developed at the French National Center for Scientific Research, that is used for the construction and use of Large Knowledge Bases (LKBs) and/or Intelligent Information Retrieval Systems (IIRSs). Semantic factors are discussed, and the specialization hierarchies used are explained.…
Descriptors: Artificial Intelligence, Databases, Foreign Countries, Information Retrieval

Parmentier, Christophe – Education and Computing, 1988
Discusses computer science developments in French primary schools and describes strategies for using computers in the classroom most efficiently. Highlights include the use of computer networks; software; artificial intelligence and expert systems; computer-assisted learning (CAL) and intelligent CAL; computer peripherals; simulation; and teaching…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Literacy, Computer Networks
Doan, Bich-Lien; Beigbeder, Michel; Girardot, Jean-Jacques; Jaillon, Philippe – 1998
The growing volume of heterogeneous and distributed information on the World Wide Web has made it increasingly difficult for existing tools to retrieve relevant information. To improve the performance of these tools, this paper suggests how to handle two aspects of the problem. The first aspect concerns a better representation and description of…
Descriptors: Access to Information, Artificial Intelligence, Computer System Design, Foreign Countries
Dugdale, Julie; Pallamin, Nico; Pavard, Bernard – Simulation & Gaming, 2006
Training firefighters is a difficult process in which emotions and nonverbal behaviors play an important role. The authors have developed a mixed reality environment for training a small group of firefighters, which takes into account these aspects. The assessment of the environment was made up of three phases: assessing the virtual agents to…
Descriptors: Foreign Countries, Decision Making, Training Methods, Experiential Learning