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2013•Computer and Digital EngineeringRequires access

Keyword-based Deep Web Database Query

Xia Haifeng

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Abstract

Deep Web contain vast amounts of information,existing search engines are difficult to search the contents.How to make the access to valuable information in Deep Web becomes a problem.This paper proposes a keyword-based Deep Web database query method,the method using the Nave Bayes algorithm to classify the Key words and log mining statistics of the sample database,eventually generate the SQL statement for the query.This method not only solves Deep Web in various fields of the database query,but also can be integrated with the existing search engine to help users to query quickly and efficiently.

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What this paper is about

Deep Web contain vast amounts of information,existing search engines are difficult to search the contents.How to make the access to valuable information in Deep Web becomes a problem.This paper proposes a keyword-based Deep Web database query method,the method using the Nave Bayes algorithm to classify the Key words and log mining statistics of the sample database,eventually generate the SQL statement for the query.This method not only solves Deep Web in various fields of the database query,but also can be integrated with the existing search engine to help users to query quickly and efficiently.

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Available abstract

Deep Web contain vast amounts of information,existing search engines are difficult to search the contents.How to make the access to valuable information in Deep Web becomes a problem.This paper proposes a keyword-based Deep Web database query method,the method using the Nave Bayes algorithm to classify the Key words and log mining statistics of the sample database,eventually generate the SQL statement for the query.This method not only solves Deep Web in various fields of the database query,but also can be integrated with the existing search engine to help users to query quickly and efficiently.

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

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