Abstract
With the rapid development of the Internet, mobile devices and social media, the available data around the world have grown explosively. IDC (International Data Corporation) estimates that the amount of data will increase by 10 times from 2013 to 2020; precisely, the total amount may grow from 4.4 trillion gigabytes to 44 trillion gigabytes. The explosion causes the analysis and applications of Big Data to become an important research issue. If the Big Data can be appropriately used, it will bring new values and innovations for life as well as a new trend of information systems and services. This paper attempts to incorporate the functions of information visualization and intelligent analysis of Big Data into the concept of service platforms. We build an integrated information service platform to provide diverse services for users, and promote the development of cloud service applications. This platform provides three kinds of main services: data filtering, data visualization and intelligent analysis, which help users represent the data in a faster and more effective way. In addition, we demonstrate the usefulness of our platform by testing medical disease data as case studies. The result shows that our platform can effectively help users to retrieve valuable information from the vast experimental data. More specifically, to the visualization tool helps identify imported diseases and its location areas. Moreover, the intelligent analysis detects new test reagents and the antibiotic resistance genes for drug development. This prototype can thus offer data analysis service on Big Data via this user-friendly interface. Finally, we collaborated with Chang Gung Molecular Medicine Research Center by applying our function modules－automatic visualization and intelligence analysis tools to their Targeted Sequencing System. Therefore, our platform can successfully support the construction of other information service systems. In the future, we expect that the platform can provide an integrated service of data processing, data analysis, and data visualization on Big Data in other research fields.