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Semantic Graph Transitivity for Discovering Bloom Taxonomic Relationships Between Knowledge Units in a Text

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