Heterogeneous different source different platform data integration method and exchange method

Abstract

The method comprises: 1) setting up an ontology base comprising the division name domain, division data table name domain, division data table location domain, data item domain, business knowledge and data table item relation domain; 2) setting up a ontology editor comprising the concept editor, attributor editor and relation editor; 3) using the concept editor to place the data into the ontology base; 4) using the attributor editor to input the attribute into the data item domain of ontology base; 5) using the relation editor to input data into the data item relation domain and data item table relation domain.

Description

technical field [0001] The invention relates to the field of digital information transmission, in particular to a technology for realizing the integration and adaptation of heterogeneous and heterogeneous platform data. technical background [0002] With the development of network technology and local area network technology, the sources and formats of network data as resources are becoming more and more complicated. In the field of application, at present, through CORBA, Web Services and other technologies, the methods of remote invocation and distributed invocation of services are adopted to publish services such as data exchange and sharing for users and application systems to query and use. Each service needs to be coded accordingly, and published in a certain way of description. [0003] Due to the diversity and complexity of the data exchange and sharing services of distributed heterogeneous heterogeneous platforms, adopting this data integration method will make the ...

AI Technical Summary

Problems solved by technology

[0005] Each application system is independently constructed by different subjects, and its technical implementation is inconsistent. The technical routes adopted by different application systems are inconsistent, the types of databases used are inconsistent, and the data formats are inconsistent. Each development of a business must be developed for a specific data source, resulting in In order to integrate data application development is very complicated, it is difficult to promote and implement in practice

[0006] (2) Data sharing is difficult

[0007] The data is located in different application systems, and the database structure is inconsistent. It needs to be collected, converted, and centralized before it can be shared. However, for different types of databases, it is difficult to do a good job of data collection, and it is even more difficult to achieve data sharing.

[0008] (3) Data collaboration is difficult

[0009] When handling a certain business, it is handled by each subject through its own information system. The data of each subject is independently maintained, and the information of the business object is stored. Some information items are repeatedly saved in each application system. Once the business object If the information changes, the systems of each subject cannot know that the change has occurred, which will cause data inconsistency between systems and bring great difficulties to online business development

[0010] (4) Data control is difficult

[0011] In the existing system, the shared application directly accesses the business data sources of each subject. There is no authority control, and the subject cannot control and manage its own data.

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