WEB data bank selection method based on WDB (World Data Bank) characteristics and user query requests

Abstract

The invention provides a WEB data bank selection method based on WDB (World Data Bank) characteristics and user query requests, which comprises steps of: (1) a feature extraction method of a WDB query interface, (2) the relevancy computation of a WDB and user queries based on the WDB characteristics, (3) the estimation of data volume meeting the user queries, (4) redundancy estimation based on the WDB characteristics, and (5) a selection method of data sources based on WDB characteristics and user queries; and through the methods, first questions of data integration and the provision of a high-efficiency data retrieval strategy in a Deep Web field are solved. Aiming at realizing more data returning at lower cost by selecting a most appropriate data bank for querying when facing mass Web data banks, the invention provides a Web data bank characteristic expression and extraction method based on a Web data bank independent sample and the data source selection method combining with the comprehensive consideration of three elements of query relevancy, returned data volume and data redundancy so as to realize the selection of a WEB data bank based on the WDB characteristics and the user queries and better meet the requirements of an integrated system.

Description

technical field The invention relates to a research field of computer application technology or Web data management and Deep Web, in particular to a method for selecting a WEB database based on WDB features and user query requests. Background technique With the widespread application of Web databases, the Web is "deepening" at an accelerated rate. The Deep Web contains richer and "professional" (focused on a certain field) information, and its data volume is also growing exponentially. Therefore, realizing the retrieval and utilization of information in the Deep Web has become one of the hotspots in the field of database research. In order to enable users to effectively utilize the massive information in the Deep Web, researchers have carried out research on Deep Web data integration, that is, to establish a Deep Web data integration system. The system can provide users with an integrated query interface, and combine the results returned by various Web databases into a uni...

AI Technical Summary

Problems solved by technology

However, to obtain the characteristics of a Web database, it is necessary to extract certain data samples based on the real data of the database. There are a large number of data sources on the Web, and the problem of information redundancy is very serious. How to solve information redundancy and deduplicate records has become a The key to the success of information integration

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