Home // INTELLI 2016, The Fifth International Conference on Intelligent Systems and Applications // View article
Authors:
Fatema Nafa
Javed Khan
Salem Othman
Amal Babour
Keywords: Cognitive Graph; Graph Transitivity; Knowledge Unit; Graph Mining; Bloom Taxonomy.
Abstract:
Manual inferring of semantic relationships by domain experts is an expensive and time consuming task; thus, automatic techniques are needed. In this paper, we propose an automatic novel technique for inferring cognitive relationships among concepts and knowledge units in the learning resources by using Graph-transitivity. The cognitive relationships are expressed as Bloom Taxonomy levels. Learning resources are represented as knowledge units in texts. The technique determines significant relationships among knowledge units by utilizing transitivity of knowledge units in the computer science domain. We share an experiment that evaluates and validates the technique from three textbooks. The performance analysis shows that the technique succeeds in discovering the hidden cognitive relationships among knowledge units in learning resources.
Pages: 121 to 128
Copyright: Copyright (c) IARIA, 2016
Publication date: November 13, 2016
Published in: conference
ISSN: 2308-4065
ISBN: 978-1-61208-518-0
Location: Barcelona, Spain
Dates: from November 13, 2016 to November 17, 2016