Overview of knowledge base management system

Knowledge base, also known as intelligent database or artificial intelligence database. The concept of knowledge base comes from two different fields, one is artificial intelligence and its branch-knowledge engineering field, and the other is traditional database field. The organic combination of artificial intelligence and database promotes the emergence and development of knowledge base system.

Knowledge base makes knowledge-based system (or expert system) intelligent. Not all intelligent programs have knowledge base, only knowledge-based systems have knowledge base. Nowadays, many applications use knowledge, and some of them have reached a very high level. However, these applications may not be knowledge-based systems, and they have no knowledge base. The difference between general application and knowledge-based system is that general application implicitly encodes the knowledge of problem solving in the program, while knowledge-based system explicitly expresses the knowledge of problem solving in the application field, forming a relatively independent program entity independently.

With the process of informatization, knowledge base management has been paid more and more attention by enterprises, but in the process of document management, enterprises often encounter the following problems: massive knowledge storage, difficult management; The search speed is slow and the efficiency is low; Knowledge base version management is chaotic; Lack of security in knowledge base; Knowledge base cannot collaborate effectively; Knowledge base management is difficult. Therefore, knowledge base management has gradually become the focus of industry research at home and abroad.

The most famous knowledge base management systems in the market include Guangzhou Siang document management system, Zhide E6 collaborative document management system, Weibangtu document management software system, Deya document management system and Yidu document management system.