What is The Difference Between Knowledge Base and Database?

Many companies often hear the concepts of knowledge base and database and knowledge base when they understand online customer service. But what is a knowledge base and what is a database? Can they be completely equal? This article will help you understand the knowledge base and database by introducing the historical evolution process and distinguishing characteristics of the knowledge base and database.
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The relationship among data management, information management, and knowledge management is that the former is the foundation of the latter, and the latter is the extension and development of the former. Data management is the process of using computer hardware and software technology to effectively collect, store, process and apply data. Its purpose is to fully and effectively play the role of data. The key to effective data management is data organization. With the development of computer technology, data management has experienced three development stages: manual management, file system, and database system. Information management is to effectively develop and utilize information resources, using modern information technology as a means to plan, organize, lead and control the social activities of information resources. Simply put, information management is the management of information resources and information activities by people. Information management refers to the general term for information collected, processed, input and output by people in the entire management process. The process of information management includes information collection, information transmission, information processing and information storage. Knowledge management is to provide a new way for enterprises to realize the sharing of explicit and tacit knowledge. Knowledge management is to use collective wisdom to improve the ability of enterprises to adapt and innovate. Knowledge management includes several aspects: establishing a knowledge base; promoting employee knowledge exchange; establishing an internal environment that respects knowledge; managing knowledge as an asset.

➤ History of knowledge base and database
The database is a data collection that is stored in a specific classification mode, can be shared by multiple users, and is independent of the application. Users can add, delete, and update the information in the classification. The database provides the possibility for efficient information search. For a long time, artificial intelligence applications have centered on efficient search methods. However, search leads to an unlimited increase in the number of combinations of information display, and the efficiency of solving "problems" is always limited.

It was not until 1956 that the concept of knowledge-based artificial intelligence began to emerge. The knowledge in the knowledge base is highly structured data, which is more meaningful in practical application and tends to solve more specific problems. In this way, the knowledge base can avoid the randomness of search and display results, and make intelligent robots more intelligent in communication and reception. The knowledge base has become a key part of the intelligent customer service system.

➤ The difference between knowledge base and database

Both the knowledge base and the database can organize the information in a modular manner. The content of the knowledge base is more applicable, and the information is more organized according to domain characteristics and usage characteristics. The difference between the two is that the database only emphasizes the classification and sorting of information, and is independent of the application program, but the knowledge base can make the knowledge "practical meaning" through a variety of algorithms and programs, and it is more relevant to the user in practical applications. The requirements can be expressed from the characteristics of the following knowledge bases:

1. Knowledge stratification of the knowledge base: The knowledge of the knowledge base has three layers, and each layer is logically related. The bottom layer stores "fact knowledge", which is the part that can be directly displayed in use. The middle layer is used to control and manage the knowledge of the bottom layer fact knowledge, generally matching rules, common processing procedures, etc., and the highest layer is knowledge It is a "strategy", which is mainly used to control the knowledge of the middle management. It can be said that a strategy is a rule of a rule. The knowledge in the knowledge base is managed interdependently through such a relationship, which is very different from the database.

2. Reliability data in the knowledge base: Knowledge at any level in the knowledge base has a data indicator that does not exist in the database, called "credibility", which can also be understood as a special kind of knowledge. In order to achieve the degree of certainty of knowledge at the three levels of facts, rules, and strategies, in the actual data processing and use, there is no randomness in knowledge, and robots using the knowledge base can also recommend answers to users according to the credibility, and knowledge changes Got more valuable.