Application Layer in Science Data Systems:
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1 Application Layer in Science Data Systems: Case Study of Digital Typhoon and 2011 Great Tohoku Earthquake Asanobu KITAMOTO National Institute of Informatics / JST
2 Introduction Background: informatics (not geoscience). Personal interests: meteorology and earth environment. Current projects: data-related activities for geoscience as a personal project and under a big project (e.g. DIAS-GRENE). 2012/5/23 JPGU
3 Cyber-Physical Systems Physical Space Nature Observation Cyber Space Data Infrastructure Action Computation Presentation People, Society Information, Knowledge 2012/5/23 JPGU
4 Components 1. Data infrastructure to archive and access a massive amount of data. 2. Computational algorithm to extract information and knowledge from data. 3. Presentation interface as a feedback to the society of information and knowledge. 4. Social platform for motivating people to take actions using data as evidence. 2012/5/23 JPGU
5 Case Study: Digital Typhoon One of the largest collection of typhoon satellite images. Comprehensive data archives from scientific data to social data million page views since May /5/23 JPGU
6 Data Integration Geostationary satellite image (Himawari ) (1978-) Typhoon image (1978-) Typhoon best track (1951-) AMeDAS weather sensor observations (1976-) Mass media online news (2003-) Disaster information (1951- or 1971-) Social media streams (2004-) Weather forecast GPV data (2002-) 2012/5/23 JPGU
7 Content-based Search and Ranking 2012/5/23 JPGU
8 Social Sensors Using blogs and Twitter to aggregate typhoon information. Noisy, but real-time, distributed, and emotional media. Complementary to scientific data. 2012/5/23 JPGU
9 Case Study: 2011 Great Earthquake Started the activity on the day of the earthquake March 11. Beginning: response to immediate needs (e.g. wind map). Later: data archives for the future. 2012/5/23 JPGU
10 Different Presentations GPV wind data is visualized on a map. Before: u / v wind = difficult to read. After: arrows on Google Maps + Fukushima Daiichi = easy to read. 2012/5/23 JPGU
11 Mash-up and Visualization Electrical Japan: the database of power stations (3045). Base map: DMSP nighttime light = energy demand. Points: power plants = energy supply. 2012/5/23 JPGU
12 Natural Language Processing Online news analysis: 220,000+ earthquakerelated news. Text is analyzed by NLP to show and search relevant words. Place-names are extracted by GeoNLP to show on a map. 2012/5/23 JPGU
13 Comparison with Traditional Systems Traditional System Data is provided as simple files. Data is collected from a single discipline. Data is not linked and separated in silos. Search is based on metadata, not content. Our System Data is processed and visualized as a product. Data from many sources is integrated. Data is linked across datasets for navigation. Search is based on metadata and content. 2012/5/23 JPGU
14 Layer Model User Application Layer Computation Layer Data Access Layer Hardware / OS Layer 2012/5/23 JPGU
15 Role of the Application Layer Implement domain-dependent algorithms to improve quality and functionality. Provide visual presentation and interface to enhance accessibility and understandability. Integrate data from various sources to support navigation on the link across datasets. Compare data from various sources to assess the reliability of data and sources. 2012/5/23 JPGU
16 How to Motivate People? Typhoon Front: received Jury Recommended Works' in 2007 Japan Media Arts Festival. Synchronize social feedback with a typhoon track. 2012/5/23 JPGU
17 How to Feel the Reality? Visualize storm tide by the real scale. 2012/5/23 JPGU
18 Twitter as Weather Sensors 2012/5/23 JPGU
19 Chances in Crisis Crisis sets urgent agenda that cannot be solved by a single discipline. Motivated scientists get together as volunteers. Boundary of disciplines is suddenly broken, but will revive over time. 2012/5/23 JPGU
20 Future Directions Loop connecting physical and cyber spaces: explore it to enhance usage and impact. Data and simulation for decision making: providing evidence for the society. Flexibility: A data system can respond to emergent activities, especially during crisis. Long-term sustainability: Evolve a personal project into a sustainable long-term activity. 2012/5/23 JPGU
21 Related Resources Digital Typhoon Archives of 2011 Great Tohoku Earthquake eastjapan/ Personal website /5/23 JPGU
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