Heterogeneous relational database data integration method based on meaning

Abstract

The invention discloses a data integration method based on semantic heterogeneous and isomerous relational database. It achieves the sharing of massive relational data through construction of ontological warehouse in the field and register various relational database to body model. The invention effectively shield model differences exist in the relational database of different medium and structure, compared with data integration method of other heterogeneous and isomerous relational database, this invention embodies good performances in feasibility, dynamic augmentability, universality and transparency aspect.

Description

technical field [0001] The present invention relates to the technical field of semantic network and the integrated technical field of distributed heterogeneous and heterogeneous databases, in particular, to a data integration method of semantic-based heterogeneous and heterogeneous relational databases. 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, since various industries and fields have long used different ...

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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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