2008•Microcomputer InformationRequires access

The Technology of Web Search Interface Discovery Based on Decision Tree

Hu Zhang

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Abstract

Traditional Web search engines work well for finding static Web pages,but not for finding datasets hidden behind Web search forms.A significant and ever-increasing amount of data is accessible only by filling out HTML forms to query an underlying Web data source.We describe a novel technique for detecting search forms,which uses representative features to describe candidate forms and a useful general purpose decision tree that is effective on accuracy to classify them.

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What this paper is about

Traditional Web search engines work well for finding static Web pages,but not for finding datasets hidden behind Web search forms.A significant and ever-increasing amount of data is accessible only by filling out HTML forms to query an underlying Web data source.We describe a novel technique for detecting search forms,which uses representative features to describe candidate forms and a useful general purpose decision tree that is effective on accuracy to classify them.

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Available abstract

Traditional Web search engines work well for finding static Web pages,but not for finding datasets hidden behind Web search forms.A significant and ever-increasing amount of data is accessible only by filling out HTML forms to query an underlying Web data source.We describe a novel technique for detecting search forms,which uses representative features to describe candidate forms and a useful general purpose decision tree that is effective on accuracy to classify them.

Key concepts: Computer science, Web search query, Search engine, Information retrieval, Web search engine, Web crawler, Tree (set theory), Decision tree

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