Information Extraction from HTML Pages and its Integration
نویسندگان
چکیده
We propose a method of transformation and integration of HTML tables into a common XML list structure. HTML tables tend to have diversified structures, and such integration will help us browse and compare all related information in separate HTML pages simultaneously. This paper focuses on tasks of information extraction from tables and data categorization. For this purpose, we applied three algorithms; (I) data classification by Support Vector Machine, (II) table structure estimation and data categorization by Hidden Markov Model, and (III) data classification by the combination of Support Vector Machine with Hidden Markov Model. Finally we report the experimental results and remaining issues.
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