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ThinkMind // INTELLI 2016, The Fifth International Conference on Intelligent Systems and Applications // View article intelli_2016_5_20_60058


Deepening Prose Comprehension by Incremental Knowledge Augmentation From References

Authors:
Amal Babour
Javed Khan
Fatema Nafa

Keywords: Prose comprehension; Graph mining; Illuminated Semantic Graph; Knowledge paths; Sub Set Spanning.

Abstract:
Humans read references to gain a better understanding of a topic. In this paper, we propose a system that tries to mimic the human reading process for a given prose. The system can accommodate a deep prose comprehension by discovering the relevant parts from a reference related to the given prose that connect and illuminate a set of learnable concepts from the prose by adding direct meaningful knowledge paths among them. We present an evaluation model to measure the acquired knowledge and the learning process obtained by the system. The analysis of the results verifies that the system succeeded in deepening the prose comprehension.

Pages: 108 to 114

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

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