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Automatic Text Summarization for Oil and Gas Topic

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.

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Academic Subject Three:petroleum engineering, geosciences
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:2017
Deposited By: Foong Oi Mean
Deposited On:28 Jul 2010 08:24
Last Modified:20 Mar 2017 01:57

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