2007•Computer Technology and DevelopmentRequires access

Automatic Judgment of Deep Web Query Interfaces

Zhiming Cui

Open publisher page 8 citations

Abstract

Traditional Web search engines work well for finding crawlable pages,but they ignore the tremendous amount information hidden behind query forms,in large searchable electronic databases.For obtaining dynamic information,firstly query interfaces must be extracted from massive Web forms to find the entrance to the datasets.This paper describes a technique for detecting query interface using naive Bayes classification and the test results are reported.

About this research paper

What this paper is about

Traditional Web search engines work well for finding crawlable pages,but they ignore the tremendous amount information hidden behind query forms,in large searchable electronic databases.For obtaining dynamic information,firstly query interfaces must be extracted from massive Web forms to find the entrance to the datasets.This paper describes a technique for detecting query interface using naive Bayes classification and the test results are reported.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Traditional Web search engines work well for finding crawlable pages,but they ignore the tremendous amount information hidden behind query forms,in large searchable electronic databases.For obtaining dynamic information,firstly query interfaces must be extracted from massive Web forms to find the entrance to the datasets.This paper describes a technique for detecting query interface using naive Bayes classification and the test results are reported.

Key concepts: Computer science, Web query classification, Web search query, Information retrieval, Query expansion, Deep Web, Query optimization, Search engine

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