Modelling knowledge summarization by evolving fuzzy grammar

Summarized text is a simplified and condensed version of the original text containing highlighted information to help the audience get the gist in a short period of time. Typically, text summarization produces abstract or a paragraph-like outputs by omitting details and irrelevant information. Howev...

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Main Authors: Mohd Sharef, Nurfadhlina, Abdul Halin, Alfian, Mustapha, Norwati
Format: Article
Language:English
Published: Science Publications 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30611/
http://psasir.upm.edu.my/id/eprint/30611/1/ajassp.2013.606.614.pdf
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author Mohd Sharef, Nurfadhlina
Abdul Halin, Alfian
Mustapha, Norwati
author_facet Mohd Sharef, Nurfadhlina
Abdul Halin, Alfian
Mustapha, Norwati
author_sort Mohd Sharef, Nurfadhlina
building UPM Institutional Repository
collection Online Access
description Summarized text is a simplified and condensed version of the original text containing highlighted information to help the audience get the gist in a short period of time. Typically, text summarization produces abstract or a paragraph-like outputs by omitting details and irrelevant information. However,the text summary can also be produced in a visualized form, such as a chart, graph or table representing a collection of similar cases. The visualized version generates a statistical-like presentation, which often involves numerical and ordinal observation of the gathered knowledge from the text. This requires lexical syntactic understanding of the text. Essential to achieve this goal is topic identification, message analysis/ interpretation and knowledge summarization generation. The objective of this study is to model knowledge summarization problem using the evolving fuzzy grammar technique and we focus on metadata generation for producing visualized knowledge summarization. The process comprises of: (i) identifying the underlying structure of the texts for knowledge summarization, (ii) represent the identified knowledge for summarization manipulation and (iii) presentation of the summarized knowledge. A prototype called FTCat©is developed as a proof of concept and we demonstrate its practicality in summarizing news reports.
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spelling upm-306112017-11-29T03:14:52Z http://psasir.upm.edu.my/id/eprint/30611/ Modelling knowledge summarization by evolving fuzzy grammar Mohd Sharef, Nurfadhlina Abdul Halin, Alfian Mustapha, Norwati Summarized text is a simplified and condensed version of the original text containing highlighted information to help the audience get the gist in a short period of time. Typically, text summarization produces abstract or a paragraph-like outputs by omitting details and irrelevant information. However,the text summary can also be produced in a visualized form, such as a chart, graph or table representing a collection of similar cases. The visualized version generates a statistical-like presentation, which often involves numerical and ordinal observation of the gathered knowledge from the text. This requires lexical syntactic understanding of the text. Essential to achieve this goal is topic identification, message analysis/ interpretation and knowledge summarization generation. The objective of this study is to model knowledge summarization problem using the evolving fuzzy grammar technique and we focus on metadata generation for producing visualized knowledge summarization. The process comprises of: (i) identifying the underlying structure of the texts for knowledge summarization, (ii) represent the identified knowledge for summarization manipulation and (iii) presentation of the summarized knowledge. A prototype called FTCat©is developed as a proof of concept and we demonstrate its practicality in summarizing news reports. Science Publications 2013-06-10 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30611/1/ajassp.2013.606.614.pdf Mohd Sharef, Nurfadhlina and Abdul Halin, Alfian and Mustapha, Norwati (2013) Modelling knowledge summarization by evolving fuzzy grammar. American Journal of Applied Sciences, 10 (6). pp. 606-614. ISSN 1546-9239; ESSN: 1554-3641 http://thescipub.com/abstract/10.3844/ajassp.2013.606.614 10.3844/ajassp.2013.606.614
spellingShingle Mohd Sharef, Nurfadhlina
Abdul Halin, Alfian
Mustapha, Norwati
Modelling knowledge summarization by evolving fuzzy grammar
title Modelling knowledge summarization by evolving fuzzy grammar
title_full Modelling knowledge summarization by evolving fuzzy grammar
title_fullStr Modelling knowledge summarization by evolving fuzzy grammar
title_full_unstemmed Modelling knowledge summarization by evolving fuzzy grammar
title_short Modelling knowledge summarization by evolving fuzzy grammar
title_sort modelling knowledge summarization by evolving fuzzy grammar
url http://psasir.upm.edu.my/id/eprint/30611/
http://psasir.upm.edu.my/id/eprint/30611/
http://psasir.upm.edu.my/id/eprint/30611/
http://psasir.upm.edu.my/id/eprint/30611/1/ajassp.2013.606.614.pdf