Ontology for Weather Observation System Yuki ONOZUKA, Keio University, Japan
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1 2 nd Asia-Pacific Conference «Complex Systems Design & Management» February 24-26, 2016 Singapore University of Technology & Design 1 Ontology for Weather Observation System Yuki ONOZUKA, Keio University, Japan Event created and organized by
2 Summary 2 Develop ontology for weather observation system by focusing on viewpoint Visualize the viewpoint and the relationship between viewpoints, which cultivates common understanding and shows system resilience
3 Outline 3 1 Background Ontology Apply Ontology to Weather Observation System Conclusion
4 4 1 Background
5 1 Background 5 Depend on Space System Weather Forecast Service GPS Service Several threads to Space System Armament Malfunction
6 1 Background 6 Depend on Space System Need to prepare Weather counterplan Forecast Service for these GPS threats. Service Japanese government announced to enhance resilience Several of the threads whole to space Space system. System Armament Malfunction
7 1 Background 7 Resilience The ability of an architecture to support the functions necessary for mission success in spite of hostile action or adverse condition [DOD, 2011]
8 1 Background 8 Resilience The ability of an architecture to support the functions necessary for mission success in spite of hostile action or adverse condition [DOD, 2011] Resilience Avoidance Recovery Robustness Reconstitution
9 1 Background 9 Before Enhance Resilience... Need to Evaluate Resilience In order to evaluate resilience, common understanding is required because several stakeholders are involved in space system. Ontology
10 10 2 Ontology
11 2 Ontology 11 Ontology identifies and defines concepts and terms [Holt et al., 2013] is formal description of classes and relationships between these concepts [Soung, 2013]
12 2 Ontology 12 Example: Automobile company RENAULT [Hugo et al., 2012] Develop Common understanding between organizations
13 2 Ontology 13 Ontology identifies and defines concepts and terms [Holt et al., 2013] is formal description of classes and relationships between these concepts [Soung, 2013]
14 2 Ontology 14 How can we view system? ISO/IEC 42010
15 2 Ontology 15 How can we view system? When we try to understand the whole system, it is important to select viewpoints. ISO/IEC 42010
16 2 Ontology 16 Example; What kinds of viewpoints do we need to see the L-Block? Top Viewpoint Bottom Viewpoint Right Viewpoint Left Viewpoint Front Viewpoint Rear Viewpoint
17 2 Ontology 17 What kinds of viewpoints do we need to understand the whole weather observation system?
18 2 Ontology 14 Viewpoints DODAF 2.0 ISO IEEE 1220 Functional Viewpoint, Physical Viewpoint
19 2 Ontology 14 Viewpoints DODAF 2.0 ISO IEEE 1220 Functional Viewpoint, Physical Viewpoint
20 2 Ontology 20 Ontology identifies and defines concepts and terms [Holt et al., 2013] is formal description of classes and relationships between these concepts [Soung, 2013]
21 2 Ontology 21 (A) Class Relationship Satellite Earth Observation Satellite Communication Satellite Weather Observation Satellite Surveillance Satellite Himawari Series (B) Class-Instance Relationship Himawari Series Himawari 8 Himawari 7 (C) Attribute Relationship Can be replaced by Himawari 8 Himawari 7
22 2 Ontology 22 Enabler Framework [Shirasaka, 2012] Viewpoint 1 utilized Viewpoint 2
23 2 Ontology 23 Capability Viewpoint Service Viewpoint Operational Viewpoint System Viewpoint Functional Viewpoint Physical Viewpoint
24 24 3 Apply Ontology to WOS
25 3 Apply Ontology to WOS 25
26 3 Apply Ontology to WOS 26 Capability Forecast Typhoon consist of Service Forecast the track Forecast the intensity Typhoon forecast service consist of Operation Provide live data Numerical prediction HOPE JMA WMO Himawari OPeration Enterprize Japan Meteorological Agency World Meteorological Organization System Weather Observation System
27 3 Apply Ontology to WOS 27 System Weather Observation System System for the marine System for the ground Weather Satellite System AMEDAS Radiosonde Rader Wind Profiler Automated MEteorological Data Acquisition System Satellite Ground Station Himawari 8 performs has can be replaced by Himawari 7 performs has Ground Station for Data Ground Station for Operation performs has performs has Measure cloud phase Measure cloud diameter Measure cloud moisture Take cloud image AHI Take cloud image Imager Send data to JMA Receive data from Satellite Data Center Antenna Control Satellite Receive data from Satellite Data Center Antenna Advanced Himawari Imager
28 3 Apply Ontology to WOS 28 Case 1 Case 2 Capability Capability Viewpoint X Viewpoint X A A a1 can be replaced by a2 a1 can be replaced by a2 Case 3 Capability Viewpoint X A a1 a2 can be replaced by Assumption A composes from a1 and a2 Performance of a1 is better than that of a2 1 entity lost
29 3 Apply Ontology to WOS 29 System Weather Observation System System for the marine System for the ground Weather Satellite System AMEDAS Radiosonde Rader Wind Profiler Satellite Ground Station Himawari 8 performs has can be replaced by Himawari 7 performs has Ground Station for Data Ground Station for Operation performs has performs has Measure cloud phase Measure cloud diameter Measure cloud moisture Take cloud image AHI Take cloud image Imager Send data to JMA Receive data from Satellite Data Center Antenna Control Satellite Receive data from Satellite Data Center Antenna
30 3 Apply Ontology to WOS 30 The performance of Himawari 8 is better than that of Himawari 7 Case 1 Capability System Viewpoint Himawari 8 Satellite can be replaced by Himawari 7 Case 2 Capability System Viewpoint Himawari 8 Satellite can be replaced by Himawari 7
31 3 Apply Ontology to WOS 31 Case 3 Capability Weather Observation System System for the marine System for the ground Weather Satellite System AMEDAS Radiosonde Rader Wind Profiler Automated MEteorological Data Acquisition System Satellite Ground Station Himawari 8 performs has can be replaced by Himawari 7 performs has Ground Station for Data Ground Station for Operation performs has performs has Measure cloud phase Measure cloud diameter Measure cloud moisture Take cloud image AHI Take cloud image Imager Send data to JMA Receive data from Satellite Data Center Antenna Control Satellite Receive data from Satellite Data Center Antenna
32 3 Apply Ontology to WOS 32 Case 3 Capability Weather Observation System System for the marine System for the ground Weather Satellite System AMEDAS Radiosonde Rader Wind Profiler By visualizing system Automated entity MEteorological Data and Acquisition relationship, System we can see the system resilience Satellite Ground Station Himawari 8 performs has can be replaced by Himawari 7 performs has Ground Station for Data Ground Station for Operation performs has performs has Measure cloud phase Measure cloud diameter Measure cloud moisture Take cloud image AHI Take cloud image Imager Send data to JMA Receive data from Satellite Data Center Antenna Control Satellite Receive data from Satellite Data Center Antenna
33 33 4 Conclusion
34 4 Conclusion 34 Develop ontology for weather observation system by focusing on viewpoint Visualize the viewpoint and the relationship between viewpoints, which cultivates common understanding By applying the ontology to WOS, it helps to understand the system resilience
35 2 nd Asia-Pacific Conference «Complex Systems Design & Management» February 24-26, 2016 Singapore University of Technology & Design 35 Thank you for your kind attention Contact Contributor
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