A multi-dimensional dynamic local knowledge map and its construction method

Abstract

A multidimensional dynamic local knowledge map is composed of a resource layer, a meta-knowledge layer, a logic analysis layer and a presentation layer, the resource layer provides resource and data support for the meta-knowledge layer, the meta-knowledge layer uniformly describes the resources and data and provides required knowledge for the logic analysis layer, the logic analysis layer obtains the knowledge required by the user from the meta-knowledge layer and sets up an incidence relation of knowledge points, and the presentation layer converts the knowledge points and the incidence relation into graphic elements and presents the graphic elements for the user. A constructing method of the multidimensional dynamic local knowledge map comprises the six steps of 1, collecting and clearing up various kinds of information, 2, constructing a body for the collected knowledge, 3, packaging the knowledge, 4, utilizing meta data for describing a knowledge object, 5, setting up the incidence relation of the knowledge units to form a knowledge relevance link, and 6, utilizing a visualization technology for conducting multidimensional presentation on the knowledge nodes and the relevance of the knowledge map.

Description

technical field [0001] The invention relates to a multi-dimensional dynamic local knowledge map and a construction method thereof, belonging to the technical fields of knowledge management, computer and knowledge visualization. Background technique [0002] In the era of knowledge economy, the role of knowledge in promoting social and economic growth is becoming more and more obvious and important, and it is gradually replacing tangible resources such as natural resources, labor, and capital, and has become a key factor of production in economic growth. With the application of various information systems in enterprises, corporate knowledge is rich in accumulation and innovation is frequent, and the amount of knowledge is "exploding". There may be confusion in knowledge management, lack of correlation and the formation of "knowledge islands", making it difficult to find, identify, and reuse. and so on. In order to solve these problems, enterprises urgently need reasonable kn...

AI Technical Summary

Problems solved by technology

[0007] 2) Cannot flexibly adjust the scale

[0008] 3) single type

[0009] 4) Knowledge network structure and visual representation form are single, which is not conducive to revealing and mining tacit knowledge

[0010] 5) Only a two-dimensional plane can be used to display a single-dimensional knowledge map, but knowledge maps of multiple dimensions cannot be associated and displayed together, resulting in missing a lot of useful hidden information

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