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Automatic Text Summarization for Oil and Gas Topic

Information sharing and gathering are important in the rapid advancement era of technology. The existence of WWW has caused rapid growth of information explosion. Readers are overloaded with too many lengthy text documents in which they are more interested in shorter versions. Oil and gas industry c...

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Main Authors:	Chen, Y.Y., Foong, Oi Mean, Yong, S.P., Kurniawan, Iwan
Format:	Conference or Workshop Item
Institution:	Universiti Teknologi Petronas
Record Id / ISBN-0:	utp-eprints.2017 /
Published:	2008
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utp.edu.my/2017/1/v42-6.pdf http://www.waset.ac.nz/journals/waset/v42/v42-6.pdf http://eprints.utp.edu.my/2017/
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id	utp-eprints.2017
recordtype	eprints
spelling	utp-eprints.20172017-03-20T01:57:02Z Automatic Text Summarization for Oil and Gas Topic Chen, Y.Y. Foong, Oi Mean Yong, S.P. Kurniawan, Iwan QA75 Electronic computers. Computer science Information sharing and gathering are important in the rapid advancement era of technology. The existence of WWW has caused rapid growth of information explosion. Readers are overloaded with too many lengthy text documents in which they are more interested in shorter versions. Oil and gas industry could not escape from this predicament. In this paper, we develop an Automated Text Summarization System known as AutoTextSumm to extract the salient points of oil and gas drilling articles by incorporating statistical approach, keywords identification, synonym words and sentence’s position. In this study, we have conducted interviews with Petroleum Engineering experts and English Language experts to identify the list of most commonly used keywords in the oil and gas drilling domain. The system performance of AutoTextSumm is evaluated using the formulae of precision, recall and F-score. Based on the experimental results, AutoTextSumm has produced satisfactory performance with F-score of 0.81. 2008 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/2017/1/v42-6.pdf http://www.waset.ac.nz/journals/waset/v42/v42-6.pdf Chen, Y.Y. and Foong, Oi Mean and Yong, S.P. and Kurniawan, Iwan (2008) Automatic Text Summarization for Oil and Gas Topic. In: World Academy of Science, Engineering and Technology (WASET) , 30 August 2008. http://eprints.utp.edu.my/2017/
institution	Universiti Teknologi Petronas
collection	UTP Institutional Repository
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Chen, Y.Y. Foong, Oi Mean Yong, S.P. Kurniawan, Iwan Automatic Text Summarization for Oil and Gas Topic
description	Information sharing and gathering are important in the rapid advancement era of technology. The existence of WWW has caused rapid growth of information explosion. Readers are overloaded with too many lengthy text documents in which they are more interested in shorter versions. Oil and gas industry could not escape from this predicament. In this paper, we develop an Automated Text Summarization System known as AutoTextSumm to extract the salient points of oil and gas drilling articles by incorporating statistical approach, keywords identification, synonym words and sentence’s position. In this study, we have conducted interviews with Petroleum Engineering experts and English Language experts to identify the list of most commonly used keywords in the oil and gas drilling domain. The system performance of AutoTextSumm is evaluated using the formulae of precision, recall and F-score. Based on the experimental results, AutoTextSumm has produced satisfactory performance with F-score of 0.81.
format	Conference or Workshop Item
author	Chen, Y.Y. Foong, Oi Mean Yong, S.P. Kurniawan, Iwan
author_sort	Chen, Y.Y.
title	Automatic Text Summarization for Oil and Gas Topic
title_short	Automatic Text Summarization for Oil and Gas Topic
title_full	Automatic Text Summarization for Oil and Gas Topic
title_fullStr	Automatic Text Summarization for Oil and Gas Topic
title_full_unstemmed	Automatic Text Summarization for Oil and Gas Topic
title_sort	automatic text summarization for oil and gas topic
publishDate	2008
url	http://eprints.utp.edu.my/2017/1/v42-6.pdf http://www.waset.ac.nz/journals/waset/v42/v42-6.pdf http://eprints.utp.edu.my/2017/
_version_	1741196056319754240
score	11.62408

Automatic Text Summarization for Oil and Gas Topic

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