Semantic-enabled Spatiotemporal Web Portal for Polar Sciences

Abstract:

It is essential for Intergovernmental and scientists to study, monitor and analyze the geographic data in polar regions. Polarregions are likely to respond rapidly and more severely to the climate changesthan any other area on the Earth.They also have significant importance for Global warming research. The ocean water around the Antarctic and Arctic is a crucial part of the ocean's thermohaline circulation. The Polar Cyberinfrastructure Program was built to acquire, share, access, analyze the polar data for Arctic and Antarctic communities. The polar data are becoming big and bring challenges for Polar Cyberinfrastructure Program including: 1) it is difficultfor polar data users to discover most relevant data based on the understanding the behavior; 2) the quality of polar data service is essential to use the polar data, however, it varies for users in different locations and different time. The semantic enabled discovery and volunteer computing are used in the Polar Cyberinfrastructurefor tackling these challenges: 1) semantic search and knowledge reasoning to improve the discovery recall and precision of polar data; 2) volunteer computing is used to gather volunteers computing resources around the world to improve the quality evaluationaccuracy of polar data service.

Keywords: Polar Science, Cyberinfrastructure, Semantic, Volunteer Computing