Knowledge management system

Abstract

The invention provides a knowledge management system, which comprises a user information management module used for storing user registration information and carrying out matching verification on login request information of a user and the stored user registration information; the project management module which is used for querying from a database according to a query condition input by a user and returning a corresponding query result; the program document management module which is used for providing a data dictionary, an association relationship and a user manual for the data stored in thedatabase for a user; the archive management module which is used for providing archive management and patent management functions for data stored in the database for a user; and the system managementmodule which is used for providing organization management, authority management and menu management for the data stored in the database for the user. According to the invention, measures such as data encryption, account management, service call authorization management, perfect log management and the like are provided, and high security of the system is ensured.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a knowledge management system. Background technique [0002] Big data awareness has penetrated into national thinking and corporate thinking. With the vigorous development of big data infrastructure, big data technology and big data applications in the past few years, the complexity, technical barriers and implementation difficulties of big data are decreasing year by year. No matter from policy-oriented implementation or enterprise-level solutions, data applications are both There are many practices, and new challenges are also faced: in the research and development process of existing big data-related software systems, there is a lack of general data management technology in the development process, resulting in time-consuming technical developers when they need to call and search for documents and data It is laborious, and the data lacks perfect log management, so the...

AI Technical Summary

Problems solved by technology

With the vigorous development of big data infrastructure, big data technology and big data applications in the past few years, the complexity, technical barriers and implementation difficulties of big data are decreasing year by year. No matter from policy-oriented implementation or enterprise-level solutions, data applications are both There are many practices, and new challenges are also faced: in the research and development process of existing big data-related software systems, there is a lack of general data management technology in the development process, resulting in time-consuming technical developers when they need to call and search for documents and data It is laborious, and the data lacks perfect log management, so the efficiency is low

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