Control method of data life period used in application of knowledge knowledge

Abstract

The invention discloses the method for controlling the data lifecycle applied to the knowledge management. Based on the characters of the data entered, the version of the data, keywords and abstract, and assort with the change of the lifecycle, the maintainer of the database can select the different places of the data storage and the storage media as well as change the authority for the user to search the data on the period of the different lifecycle. Thus, the invention provides the more economic and efficient mode to reach the target of managing and maintaining the data.

Description

field of invention [0001] The invention relates to a control method for data life cycle applied in knowledge management, in particular to a control method for data storage and extraction based on life cycle in the application of knowledge management system. Background technique [0002] Knowledge will be an important source of core competition for enterprises in the future. In the stage of labor-intensive industrial development, as long as enough labor is assembled, the products can be completed one by one; when entering the stage of capital-intensive and technology-intensive industrial development, the most important management task is to be good at utilizing capital and technology. In order to obtain the maximum benefits for investors; when the industrial development of the 21st century takes the knowledge economy as the main development trend, how to make the work of knowledge management more productive is the most important management task in this century; Knowledge man...

AI Technical Summary

Problems solved by technology

[0004] In the activities of knowledge management, it is necessary to turn data into information, and further gradually internalize it into knowledge; but with the increase of data in quality and quantity, database maintainers have questions about how to save a huge amount of data, and how to make it Users can efficiently and quickly obtain data from huge databases, which is always a great challenge for database maintainers

[0005] At the same time, in practice, the following problems often occur in the flow of data, making data maintenance more difficult: 1. Too much time is wasted in the dissemination and transmission of data

2. Revision control management is not easy

3. Resources are wasted on personal computer memory, hard disk and hardware backup

According to the price and storage space of the storage media used by the data, it directly affects the storage cost of the data

For example, data can be stored in a dark basement using paper as a storage medium; or it can be made into microfilm and placed in a space with temperature and humidity control, so the environmental cost of storing data will vary greatly

[0007] But is every piece of data necessary for its existence? The purpose of data existence is to allow users to access the data in the most efficient way under their authority, and to obtain the content of the data for further reference and application; but the existence of data also has an important The characteristic of the data is the number of times the data is indexed, which is inversely related to the time when the data event occurs; in other words, people seldom refer to the old data as an investment in data analysis; , which directly increases the burden on database management maintainers, so there is a set of efficient data management. As knowledge management, it is indeed necessary to effectively link data-information-knowledge

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