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National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa,

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Presentation on theme: "National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa,"— Presentation transcript:

1 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya Accessing Meteorological Data Using Ontology Takuji Kiura Atsushi Yamakawa Xin Wen Yu Seishi Ninomiya NARC, NARO, Japan

2 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya MetBroker WebService for accessing Meteorological Data 20000 Observation Point

3 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya Agricultural applications and databases Agricultural applications need several different types of data set Databases needed for the applications are usually maintained and managed by different organizations and are located in different places Those databases are heterogeneous in access method, data formats, available items, time resolution etc.

4 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya Example of Heterogeneity of Metrological Database Item Air Temperature, Wind, Rain, Radiation, etc. Sub Item Rain Amount, Rain Intensity, Rainy Days, etc. Time Resolution Sub Hourly, Hourly, Daily, Monthly, etc. Summarization Mean, Maximum, Minimum, Total, etc. Equipment

5 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya

6 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya

7 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya Solution by Ontology Broker Decision-Making Support Services Operational Products Operational Products Simulation Models Simulation Models Detailed Digital Forecast Detailed Digital Forecast Inference Engine DB Wrapper Item Definition OWL Station metadata RDF Metadata database Meteorological databases DB Wrapper 2. Request 3. Request metadata 4. Request data 1. Register

8 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya Sample Basic Vocabulary Sample file: http://www.agmodel.org/MetBroker.owl DailyMaxAirTemperature is a subclass of MaxAirTemperature DailyMaxAirTemperature is recognized as maximum and daily data

9 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya Sample Item Definition A sample file is available on http://www.agmodel.org/Aclima.owlhttp://www.agmodel.org/Aclima.owl Local item name ame_day.temp_max is recognized as maximum and daily data based on every 10 minutes data

10 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya Sample Station Metadata Ag. Res. Inst. Representative Observation Station 64.0 139.2874298095703 35.34185791015625 http://www.agmodel.org/Kanagawa.rdf &kngw;#DailyAverageWindVelocity 1995-12-31T15:00:00+0000 2.0 ……. Description of weather station The details of measured items This item is defined in Item definition file

11 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya DEMO (Single station access) DB Broker Inference Engine 1. Reuqest Resolution Daily Summary Mean Item Air Temperature Basic Vocabulary Database : Item definition 2. Find the basic vocabulary that is equivalent to the request 3. Find the local item that is equivalent to DailyMeanAirTemperature 4. Pass the local item Air 5. Query the database using the local item Air

12 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya DEMO Basic Vocabulary Tree Data Access using Google Maps http://www.agmodel.org/metbroker/demo.html

13 National Agriculture and Food Research Organization National Agricultural Research Center Data Mining and GRID Research TeamTakuji Kiura, Atsushi Yamakawa, Xinwen Yu, & Seishi Ninomiya Summary We show you a demo application of New MetBroker that uses small single ontology to integrate distributed Meteorological Data virtually. Using Temperature you can get mean, maximum, and minimum air temperature and soil temperature Japanese item names and English item names are supported May support other languages without any change in program sources.


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