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2009•Unpublished venueRequires access

Study on the query based on Deep Web database

Rong Luo, Chunguang. Li, Yuxi Gong

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Abstract

In order to quickly and accurately using mass information in the deep Web database. According to the characteristics of the deep Web: large-scale, dynamic and heterogeneity, One new query method was put forward based on the document divergence for the first time. The experiment adopted testing data of TREC show the method can avoid the repeat of query document in effect, especially for a great deal of documents returned from the deep Web database. The method improves the effectiveness of query.

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What this paper is about

In order to quickly and accurately using mass information in the deep Web database. According to the characteristics of the deep Web: large-scale, dynamic and heterogeneity, One new query method was put forward based on the document divergence for the first time. The experiment adopted testing data of TREC show the method can avoid the repeat of query document in effect, especially for a great deal of documents returned from the deep Web database. The method improves the effectiveness of query.

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Available abstract

In order to quickly and accurately using mass information in the deep Web database. According to the characteristics of the deep Web: large-scale, dynamic and heterogeneity, One new query method was put forward based on the document divergence for the first time. The experiment adopted testing data of TREC show the method can avoid the repeat of query document in effect, especially for a great deal of documents returned from the deep Web database. The method improves the effectiveness of query.

Key concepts: Computer science, Deep Web, Web search query, Web query classification, Information retrieval, Query optimization, Divergence (linguistics), Sargable

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