Data resource integrated method based on metadata

Abstract

This invention discloses a data resource integration method based on metadata, it construct metadata model through experts in its field, and the data owners describe data resources according to metadata model, extract metadata, the system administrator use uniform metadata storage model to access data examples, the data users use directory system to achieve the resource discovery and orientation to integrate data resources. The invention effectively achieve resource discovery and integration of data resources through metadata storage centre, compared with other methods of data resource integration, the invention constructs an open service-oriented architecture, use unified metadata storage to provide a unified description and unified storage or data resources, achieve the rapid discovery and seamless integration of data resources.

Description

technical field [0001] The present invention relates to the field of data resource integration, in particular, to a metadata-based data resource integration method. Background technique [0002] With the rapid development of the information and knowledge economy era, a large amount of scientific data has been accumulated in various scientific research fields, and these data are still showing an exponential growth trend. The realization of these scientific data sharing and integrated applications is of great significance for enhancing my country's scientific and technological innovation capabilities, improving the overall level of science and technology, reducing redundant construction, saving human and material resources, and promoting social and economic development. However, various industries and fields have long used different schema structures to describe data, and use various schemas to describe data, which immediately creates almost insurmountable obstacles for resour...

AI Technical Summary

Problems solved by technology

[0004] Internet technology has good performances such as openness, universality, loose coupling, dynamics, and unboundedness in data integration, but there are still two essential defects in the following two aspects: 1) The current Internet technology lacks a standardized information expression model and Semantic support: Information resources on the Internet are deeply heterogeneous and heterogeneous. If the semantic inconsistency of information resources cannot be resolved, semantic interconnection and seamless information integration will not be supported; 2) There is a lack of a unified system architecture to Unified management of resources in the entire domain: there is no unified control of information resources on the Internet, and they appear disorderly. Therefore, it is necessary to study a highly scalable architecture to dynamically manage virtual, dynamic, and hierarchical organizations. orderly management;

[0005] Various models of distributed database technology are based on two basic assumptions: 1) The location transparency of the database: users do not know the location and content information of data sources in advance, and users need to manually select information sources, so that in the face of large-scale mass data integration 2) The autonomy of the database: each database is completely independent in schema design, resulting in semantic conflicts. If the semantic conflicts between different schemas cannot be resolved, semantic interoperability and heterogeneous data cannot be truly realized integrated sharing of

Both traditional cluster databases and federated databases try to use the method of schema integration for data integration and sharing, but the above two problems cannot be solved well, either they cannot realize the sharing of massive and large-scale data, or they cannot solve the problems Semantic Conflicts Between Architecture Databases

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