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An Iterative Method for Enhancing Text Comprehension by Automatic Reading of References

Authors:
Amal Babour
Fatema Nafa
Javed Khan

Keywords: WordNet; Wikipedia; Semantic-Graph; Illuiminated-Semantic-Grap

Abstract:
Humans read references to increase understanding about a topic. In this research, we investigate an interesting algorithm which tries to mimic the human reading process. Given a free text about a topic, the algorithm iteratively discovers important references to illuminate the less understood part of the text at hand and then analyzes the reference text to add new knowledge paths. The algorithm also consults modern semantic dictionary through the analysis as needed. In this paper, we are going to share an experiment, which uses Wikipedia pages as reference and WordNet as the ontology engine to understand a news article. We display the knowledge gain via this algorithm.

Pages: 66 to 73

Copyright: Copyright (c) IARIA, 2015

Publication date: October 11, 2015

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-437-4

Location: St. Julians, Malta

Dates: from October 11, 2015 to October 16, 2015