2006-11-09/11 7th Agricultural Ontology Service Workshop @ B angalore, India 1 Implementation of Semantic Network Dictionary System for Global Observation Data Shigenobu TACHIZUKA , Masahiko NAGAI, Ryosuke SHIBA SAKI Center of Spatial Information Scie nce the Univ. of Tokyo, JAPAN
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Implementation of semantic network dictionary system
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2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
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Implementation of Semantic Network Dictionary System
Center of Spatial Information Sciencethe Univ. of Tokyo, JAPAN
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
2An understanding and prediction of an earth system
Distribution of abnormal weather, March 2002
average
temperature(
)℃
Malnutrition Population
China21%
India25%
Other Asia20%
Africa23%
SouthAmerica7%
Middle and near East4%
abnormal weather, climate change, flood damages, water or food crisis Poverty, Health, Safety
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
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GEOSS 10 Years Plan
Recommended Researches•Management of life cycle data•Data integration and Information fusion•Data mining•Network reinforcement•Suitable planning
Mutual management and Data system• Development and Acquisition for Common data, metadata, and product.• Processing, Analyzing, Visualizing for Huge and variety of data• Sharing and distribution by Internet service
Summit
2003,June Evian G8 Summit2003,July Washington 1st Earth observation Summit2004,April Tokyo 2nd Earth observation Summit2005,Feburauary Brussels 3rd Earth observation Summit
Global Earth Observation System of Systems(GEOSS ): proposed an international cooperative attempt to gather accessible hardware and software for all of the nation.
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
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GEOSS 10 Years Plan
• The global environment is lying on trans-disciplinary fields, including...
• GEOSS has begun to make efforts to supply data and information at no cost by collecting data, enhancing data distribution, and providing models for global environment.
Hydrology
GeographyBiology
Ecology
Agriculture
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
Understanding and Prediction of Earth system Create new Knowledge for Earth System Science
For Social Needs
Numerical prediction
Flood prediction
Cooperationwith international
Organizations
Cooperationwith international
Organizations
Metrological information
Integrated use of data Agriculture managementDispersed
use
Predictionneeds
Integrated Information
Centralized Data Integration & Fusion
1. data archive, storage, integration
2. data assimilation, visualization, mining
3. design for database schema
4. data collection and distribution
5. sensor data fusion
Integration of Distributive Data
1. constriction of ontology registry
2. service by ontology registry
3. distinguished DB for agriculture
4. distinguished DB for satellite data
Core Systemdata
Integrated Information
Oceanic data
Flood data
Earth observation dataC
ollection/quality managem
ent
Cooperation with International Research Center
Satellite data
Ground observation data
Cooperation with Earth ObservationPlans
Integration method
Global Environmental Data Integration Project
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
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DB
DB
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A1:高度成長社会A2:多元化型B1:持続発展型B2:地域共存型
DB
DB
DB
DB
DB0
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A1:高度成長社会A2:多元化型B1:持続発展型B2:地域共存型
DB
DB0
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A1:高度成長社会A2:多元化型B1:持続発展型B2:地域共存型
DB
DB
DB
気象用語
biologyterm
Landuse Classification sc
hema
Climatology
Health Science
Agricultureterm
Hydrologyterm
农业
เกษตรกรรม
농업It is necessary to look over many fields andwe have to understand many technical terms
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
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DB
DB
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A1:高度成長社会A2:多元化型B1:持続発展型B2:地域共存型
DB
DB
DB
DB
DB0
50
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A1:高度成長社会A2:多元化型B1:持続発展型B2:地域共存型
DB
DB0
50
100
150
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A1:高度成長社会A2:多元化型B1:持続発展型B2:地域共存型
DB
DB
DB
気象用語
农业
เกษตรกรรม
농업
To guarantee data quality or
reliability.
To understand Trans - disciplinary database by
translation of heterogeneous “term”
Health Science
Climatology
To know where data is and what format is, and to access to heterogeneous
system.biology
term
Hydrologyterm
Agricultureterm
Landuse Classification sc
hema
Development of Semantic Network Directory system (collection, comparison, editing etc.)
Development of Ontology Service System by using Semantic Network Directory system
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
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Framework for Semantic Network Dictionary
SemanticNetwork Dictionary
Created dictionary is registered to the system again.
Clarifying ontological expressionVisualizing relationship between termsProviding reference information to users
(2) Browse
Modification of registered information on the system newest information
(3) Modification
Collection and registration the semantics
(1) Registration
(4) Utilization
Support of technical term
Data Integration Constriction of data model
Providing integrated informationUtilizing as knowledge
Information retrieval
future work
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India
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Semantic Network Dictionary System
• To collect, manage, and compare ontological information such as data dictionaries, classification schemas, terminologies, and thesauri for the global observation data.
• Data sharing and data service such as support of metadata design, structuring of data contents, support of text mining is applied for better use of data to the semantic network dictionary system.
• As a trans-disciplinary dictionary including civil engendering, agriculture, classification schema, satellite observation data, and so on.
• We endeavor to add dictionaries and data model to the system by digitalizing text based dictionaries, developing “knowledge writing tool” for experts.
2006-11-09/117th Agricultural Ontology Service Workshop @ Bangalore, India