Use of Log Analysis and Text Mining for Simple Knowledge Extraction: Case Study of a Science Center on the Web

Leo Tan Wee Hin; R. Subramaniam; Daniel Tan Teck Meng

doi:10.4018/978-1-59140-591-7.ch017

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Use of Log Analysis and Text Mining for Simple Knowledge Extraction: Case Study of a Science Center on the Web

Leo Tan Wee Hin (Nanyang Technological University, Singapore), R. Subramaniam (Nanyang Technological University, Singapore) and Daniel Tan Teck Meng (Singapore Science Center, Singapore)

Source Title: E-Learning and Virtual Science Centers

DOI: 10.4018/978-1-59140-591-7.ch017

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Abstract

Log analysis of server data has been used to study the Web site of the Singapore Science Center, which is the largest Web site among all science centers in the world. This has yielded a wealth of data, which has been useful in assessing the effectiveness of the content hosted on the site. Additionally, the use of text-mining to structure an effective query interface for the Science Net database, which is an online repository of over 6,000 questions and answers on science and technology, is assessed. A commentary on the use of log analysis for virtual science centers is also presented.

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Use of Log Analysis and Text Mining for Simple Knowledge Extraction: Case Study of a Science Center on the Web

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