Intelligent Collaborative Educational Systems and Knowledge Representation
Procedia Computer Science 2017
Sabina Kataļņikova, Leonīds Novickis, Natālija Prokofjeva, Vladimir Uskov, Colleen Heinemann

In this paper, the concept of collaborative intelligent educational system is presented. Different knowledge representation models are compared in the context of their use in collaborative intelligent educational systems. Advantages of semantic networks for knowledge representation in such systems are described. Main advantages of extended semantic networks are shown and a set of basic operations regarding them is drawn up.


Atslēgas vārdi
Intelligent collaborative educational system; Knowledge worker; Extended semantic network
DOI
10.1016/j.procs.2017.01.097
Hipersaite
http://www.sciencedirect.com/science/article/pii/S1877050917300984

Kataļņikova, S., Novickis, L., Prokofjeva, N., Uskov, V., Heinemann, C. Intelligent Collaborative Educational Systems and Knowledge Representation. Procedia Computer Science, 2017, Vol. 104, 166.-173.lpp. ISSN 1877-0509. Pieejams: doi:10.1016/j.procs.2017.01.097

Publikācijas valoda
English (en)
RTU Zinātniskā bibliotēka.
E-pasts: uzzinas@rtu.lv; Tālr: +371 28399196