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Title |
Extracting Content for News Web Pages based on DOM |
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Author |
Hua Geng, Qiang Gao, Jingui Pan |
| Citation |
Vol. 7 No. 2 pp. 124-129 |
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Abstract |
Nowadays, RSS is becoming a hot topic for Web applications. A lot of famous Web sites have provided RSS for users. However, making RSS files manually is boring, and so far, most sites haven’t provided such a service. In this paper, we mainly describe the design, implementation and evaluation of HTML2RSS, a system to extract content from HTML Web pages based on DOM structure, and generate RSS files automatically with the extracted content. We introduce two algorithms to extract information from semi-structured Web data. The goal of HTML2RSS is to provide users with RSS files as a substitute of the HTML pages. |
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Keywords |
Web information extracting, DOM, XML, time pattern, RSS |
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