Japan Geoscience Union Meeting 2014

Presentation information

Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-ZZ Others

[M-ZZ45_29PM2] Geoscience Studies: historical, philosophical and STS studies

Tue. Apr 29, 2014 4:15 PM - 5:45 PM 422 (4F)

Convener:*Michiko Yajima(Tokyo Medical and Dentel University), Shigeyuki Aoki(Center for Cultural Research and Studies, University of Aizu), Toshihiro Yamada(Chiba Prefectural Funabashi High School), Shigeo Yoshida(Department of Earth and Planetary Sciences, Faculty of Sciences, Kyushu University), Chair:Shigeyuki Aoki(Center for Cultural Research and Studies, University of Aizu), Shigeo Yoshida(Department of Earth and Planetary Sciences, Faculty of Sciences, Kyushu University)

4:30 PM - 4:45 PM

[MZZ45-09] A Web-application of Dynamic Time-Scale Previewer and its Application for Historical Geoscience Studies

*Ken T. MURATA1 (1.NICT)

Keywords:STARS touch, NICT Science Cloud, Web Application

The NICT Science Cloud is one of the science clouds proposed for development of sciences. A variety of science data are collected and stored in the science cloud to be analyzed interdisciplinary. After the Internet is widely used, new concept and information technology haves shown up; semantic web and linked open data (LOD). These technologies enable information on the Internet machine readable. In many science fields, it is pointed out that the semantic web will play an important role for the interdisciplinary research works. However, there have been few ideas to be ever proposed as a methodology or roadmap to the interdisciplinary science using semantic web. Herein we present a concept of professional knowledge and academic knowledge following collective knowledge proposed as a Web 2.0. Based on the concept, we design a Web-application for interdisciplinary science. The application (named STARS touch) provides users with an environment of dynamic and light preview of any types of time-dependent data. In the demonstration, we show an example of simultaneous preview of both scientific data (satellite observation data) and social data (newspaper information).