Human-based genetic algorithm for facilitating practical use of data in the internet
Ryosuke Hasebe, Rina Kouda, Kei Ohnishi, Masaharu Munetomo · 2014
A variety of data are accumulated in the Internet and the data are increasing in amount everyday, for example, open data provided by governments of multiple countries. Utilizing such data might be linked to creating new businesses or services. Therefore, it would be useful if we have a system that helps users discuss purposes to utilize the data quickly and efficiently. So, we conceptually present a system implementing a human-based genetic algorithm that is intended to help users discuss purposes to utilize the data quickly and efficiently, and then develop a web-based system for discussing suitable tags for given images according to the concept. We also conduct subjective tests for evaluating the developed system. The results do not show statistical significant difference between the developed system and a conventional way, but we obtain several positive comments about the usability of the developed system.