Characterization Knowledge-based Classification Of Vision

The era of visual literacy, and the change of technologies, tools and culture is the characteristic of our social. Beyond the Semiological Study of Instruction Noumenon, Semiological Practice of Instruction Noumenon is coming to the stage of education field. Therefore,"reading pictures" and "Knowledge Visual Representation (KVR)" are becoming the internal need in the field of education, and the KVR is the way to realize Knowledge Visualization (KV). My research focuses on three functions:the visual representation (VR) of emotion, cultivation of innovative thinking and tacit knowledge mining. The current domestic and other countries KV is mainly limited to the theory and method in this field of enterprise knowledge management, this paper achieved a breakthrough in this field, in order to construct theory system of education field about KVR and the methods framework of KVR based on knowledge classification.Based on the problem analysis of the current KV research as "starting point for this research", symbol is "combination point for this research" of KVR between "symbol meaning" of knowledge and "symbol form" of visual media, and the knowledge definition from the perspective of semiotics is "entry point for this research" and "the research clues" through the discussion of all aspects of this research, and is the basis of the definitions of many core concepts and research problem in this paper.Firstly, in the Representation Content Level. The conception of "knowledge" is defined from semiotics as two aspects:the significance/meaning and organization (structure/form). The research pointed out that KVR in essence is the VR of significance of knowledge and knowledge organization (structure) visualization. According to this definition as a basis of classification knowledge, and by means of literature analysis method, from the dimension of knowledge (Cognition, Skill and Motion) and the other two dimensions (meaning size and structure), we put forward the relationship of "cubic","hierarchy","interlocking" and "different size" among different knowledge, and constructed the water-cube model of knowledge classification as the foundation of KVR.Secondly, in the Representation Tools Level. We mined the structure advantage of visual symbols on the basis of "two aspects of knowledge definition":bilayer structure (meaning and form). And by symbolic analysis, it is pointed out that the visual symbol by encoding and creative form the dual function of visual symbols:"meaning generation" and "meaning organization", also including meaning innovation. In order to avoid only grasping the graphics or images on the basis of one-sided viewpoint character level, tool system building by the graphics and images which were grasped from the metaphysical "visual symbols" level provide support for knowledge visual representation. Thirdly, in the Representation Mechanisms and Strategies Level. Two aspects of knowledge definition is the basis on the two major influence factors of KVR mechanisms and strategies. It point out that the KVR mechanisms are simplified when we only consider the characterization of content and tools, and is the external representation, and means:meaning package and interpretation on the basis of visual symbols; but the value of KVR lies in the knowledge transfer and construction.So the research combined the consideration of "knowledge in communicator mind" and "information processing in audience mind" together and proposed that KVR is a kind of transfer mechanism transferred from the internal mental representation to external visual representation, which is also the real nature of KVR. So the third factor of KVR, which is cognitive load, is introduced into this research.Thus, this study obtains the principle of tacit knowledge mining and KVR is to eliminate the disadvantageous influence of these three factors. At the same time, the knowledge innovation can also be understood as "forming new meaning or organization" Thus this paper proposed training steps of creative thinking and principles of KVR according to these steps. And then according to these principles, this paper put forward a series of representation strategies accordingly, and each strategy represent different methods, these methods become the method system based on knowledge classification in the following three chapters.Finally, in the Representation Method System Level. This paper, from the three fields of knowledge classification, based on the definition of knowledge and the cognitive load, combination of knowledge learning and teaching strategies, put forward the design essentials and methods of KVR. Especially for the promotion of declarative knowledge into procedural knowledge, based on the theory of Adaptive Control of Thought (ACT) of cognitive skills, this paper brought forward the systemic VR methods of cognitive skills. And according to the particularity of the motion domain, on the basis of the definition of knowledge, from the perspective of semiotics, this paper analyzed the psychological mechanism of emotions (that is its structure) non-deductive logic sense expression; and we use the bilayer structure of visual symbol, in the structure level, and let learners perception and experience of emotion; moreover, in the meaning level, let the value judgment to guide the learners to practice idea of Semiological Practice of Instruction Noumenon.In conclude, based on the correspondence visual representation method system of knowledge classification and water-cube model of knowledge classification, this paper designed a "water-cube model of VR of knowledge classification"...