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Automatic Data Extraction from Websites for Generating Aquatic Product Market Information
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作者 袁红春 陈莹 孙越夫 《Journal of Donghua University(English Edition)》 EI CAS 2006年第6期15-19,共5页
The massive web-based information resources have led to an increasing demand for effective automatic retrieval of target information for web applications. This paper introduces a web-based data extraction tool that de... The massive web-based information resources have led to an increasing demand for effective automatic retrieval of target information for web applications. This paper introduces a web-based data extraction tool that deploys various algorithms to locate, extract and filter tabular data from HTML pages and to transform them into new web-based representations. The tool has been applied in an aquaculture web application platform for extracting and generating aquatic product market information. Results prove that this tool is very effective in extracting the required data from web pages. 展开更多
关键词 web data table localization algorithm distance algorithm data filtering algorithm data extraction tool.
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