An relational model based semantic network knowledge representation technology and its application

According to relational database theory, solid foundation, and mature technology, various products have made it the first consideration for studying and storing massive data. But how to build an effective knowledge base which is based on the powerful storage and processing capability of relational database is not only one of the key issue for the research and application relating to knowledge engineering and intelligent system, but also is the technological bottleneck of how to turn knowledge management into application. In developing the query text data and content management application, there are some issues discovered with using the traditional method to retrieve content based on the contents of the title, author, and time to search. For instance, concerning a large amount of construction work on resources preparing, low query efficiency, and being unable to search out interrelated content and so on. In this paper, a relational model of semantic networks is given and a two-dimensional storage structure of relational data table based on the semantic network knowledge with practical examples is discussed. At the same time, this paper designs the stored procedure based on SQL language description; moreover its key searching skill lies in keywords and the connections among the keywords. The semantic network relational models, storage structure and query algorithm can solve the foregoing problems related to the knowledge or content management. That is to say it is used to inquire the contents of query system of laws and regulations, which gained excellent result. This technique is easy to require without specialized knowledge processing tool. Only a simple training can help people get hold on it.