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Recent growth in mobile phone has concentrated in intelligent use. Apple App Store’s launch created a mobile software boom. To date, Apple APP has approved more than half millions of software, and reached ten billions of downloadings within three years. At the same time, Google-led Android Market has also accumulated three hundred thousands of software. It has become increasingly challenging for mobile users to find desired suitable software applications. Consequently, how to leverage automated classification method to assist users in locating suitable mobile software becomes an interesting research subject.
This research is to develop a prototype system that follows the basics of knowledge management and implements Web2.0 architecture. Keyword analysis and frequency of use are the fundamental aspects used for software classification. With the implementation of Web2.0, the prototype system allows end-users to help improve the intelligence of classification capability.
Two trial runs have been performed with encouraging outcomes. This research has done a proof of concept that one could leverage knowledge management and Web2.0 to address the issue of seeking for suitable mobile software applications. The investigator of this research expects that the study methods and techniques used here could also be applied to other areas that require classification, e.g., internet articles, network news, blog posts, etc.
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