Design And Implementation Of Knowledge Cube Visualization Based On Flex

With the rapid development of information technology, the human race has entered atime of knowledge explosion. Many problems, such as how to mine knowledge, how tomanagement knowledge and how to show knowledge, are more and more concerned bypeople. This topic research on knowledge visualization. Besides conveying facts information,knowledge visualization are also aim at transfering insights, experiences, attitudes, values,expectations, perspectives, opinions, predictions, and so on. In this way It help peoplecorrectly reconstruct knowledge, memory knowledge and use knowledge. The visualization ofknowledge is so important that during the past dozens of years, it became the research topic ofmany scholars. Especially, along with the rapid development of computer technology, theresearch of knowledge visualization tools has further more improved, there are lots of goodknowledge visualization tools, such as Concept May, Mind Map, Wayne figure, etc.Using Flex framework as technical support, making the Software architecture qualityattributes as the researching object, and basing on analyzing the advantages and disadvantagesof existing knowledge visualization tools and the use experience, this paper is committed toresearching the knowledge visualization system. This article mainly are:Firstly, detailed analysis and research Flex framework and other relevant technology,make clear the principle of the BirdEye community project’s visualization.Secondly, basing on the analysis of the advantages and disadvantages of existingknowledge visualization tools and contrast of the data cube model, this paper put forward thefeasibility of using the knowledge cube to describe knowledge, and lastly complete thedefinition of knowledge cube, XML modeling and the design of visualization system.Thirdly, it use the designed visualization framework to show the Software architecturequality attrivutes. In view of some problems, such as node uniqueness processing, knowledgedrilling, knowledge slicing/dicing and identification of synonyms, thic article give thedetailed solutions. At last it show the pictures of the knowledge cube’s visualization.The test results show that the research of this paper is effective. This visual system cannot only show the overall structure of knowledge, but also can mine the knowledge for a finegranularity. And it can according to a single dimension or more to slice or dice knowledges. It is very easy to find the knowledges which have the same characteristics.