Disciplinary Knowledge Representation And Quantification Based-on Multiple Independent Parameters In Knowledge Map

Knowledge is one of the important resources of today's society and has become a key factor in determining the success of the organization and its economy. As an effective tool for knowledge management, knowledge maps help to present information and knowledge, and it is a systematic way of creating knowledge at the right time to flow knowledge to the right people. In this paper, the Disciplinary knowledge in the knowledge map is studied, and the method of knowledge representation and quantification based on the multi-independent parameters is put forward, which provides a new way for the knowledge expression.This paper put forward a multi-independent parameters of the disciplinary knowledge expression and quantification method. The main work is as follows:Firstly, The method of multi-independent parameter expression of disciplinary knowledge, consider with the ontological characteristics of disciplinary knowledge,especially the independence and relevance of disciplinary knowledge unit, using four attributes to represent the subject knowledge unit, respectively is the hierarchical attribute, the association attribute, the information attribute and the type attribute. The purpose is to use the method of geo-spatial display to reflect the hierarchical cognitive process of the subject knowledge structure, that is, mapping the linear knowledge structure to 2D map;Secondly,Quantitative method of multi-independent parameters of disciplinary knowledge, consider with the theory and practice of education and teaching, to solve the above four parameters of the quantitative problem, but also build a knowledge tree,XML file as a data persistence choice, easy to configure and modify,This is an important basis for the digital storage and spatial visualization of disciplinary knowledge;Thirdly, Knowledge map production platform and application test, combined with the above methods, design the knowledge map production platform software system, and K12 data for application testing, including the important functions of knowledge tree file analysis and storage, discipline knowledge unit editing and spatial visualization display.