A Proposal of Framework for Information Visualization in Developing of Web Application

Abstract

In recent years, everybody can get many kinds of real-time digital information easily, especially by using API as an infrastructure system which provides information data sets via the Internet. This system has changed a style of spreading information on the Internet. In a case of web developers, they utilize the real-time data sets which are created per time set by providers to create the web applications. These applications provide real-time information for the users then the users can get real-time information from them simply. However, there is a problem. This situation means many web applications using same source leads the situation which the users have to see same information often. Spreading same information leads too much information which the users cannot find out the information they need. To solve these problems, we propose a framework using the method of information visualization. This framework has two functions also has a purpose to make an environment to create information visualized web applications easily. One of them is to extract only important information from the large amount of information for understanding its essence of meaning well. The other is to generate values for visual effects like size and color which could be used for user interface to encourage the users to understand information's essence quickly. Both function are processed in a data base. The data base provides data sets including important information and visual values as XML data format to web developers. Therefore, they only focus on how express information on the user interface. As a result, the users can get only meaningful information with visual effects. To evaluate this framework's validity, we count how many processes are needed to make an information visualized web application with a ordinal way and the other way used our proposed framework's data sets. This result count shows that the proposed framework has more success over the ordinal method.