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Semantic Interoperability in Multi-Domain Sensor Networks

Semantic Interoperability in Multi-Domain Sensor Networks. ～ A Pitfall in Multi-Domain Sensor Networks ～. Hideya Ochiai and Hiroshi Esaki The University of Tokyo ( CNRS-WIDE Workshop on 2008-10-29 ). Outline. Multi-Domain Sensor Networking Experiences in Live E! Project

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Semantic Interoperability in Multi-Domain Sensor Networks

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  1. Semantic Interoperabilityin Multi-Domain Sensor Networks ～ A Pitfall in Multi-Domain Sensor Networks ～ Hideya Ochiai and Hiroshi Esaki The University of Tokyo ( CNRS-WIDE Workshop on 2008-10-29 )

  2. Outline • Multi-Domain Sensor Networking • Experiences in Live E! Project • Space of the Semantics • Managing Semantic Interoperability • Summary

  3. Multi-Domain Sensor Networking User in C • Possible: Sharing of sensor data by standard protocols • Question: How to share the semantics of data • Where and How the data were observed. • What the data represents. • Sensor data can be heterogeneous regarding to semantics User in A Organization C Organization A sensor sensor Organization B sensor Semantic interoperability is necessity in multi-domain sensor networking.

  4. Outline • Multi-Domain Sensor Networking • Experiences in Live E! Project • Space of the Semantics • Managing Semantic Interoperability • Summary

  5. << Example >>Experiences in Live E! project Server B Server A Rain Fall Rain Fall Yusuke Prof. Nakayama Close ID: live-e.org/WXT510/03000005c3a2/RainFall Location: ITC roof, The University of Tokyo Owner: Prof. Nakayama SensorVendor: Vaisala SensorModel: WXT510 ID: pc6.nezu.wide.ad.jp/WM918/itc_roof/RainFall Location: ITC roof, The University of Tokyo Owner: Yusuke SensorVendor: AmbientWeather SensorModel: WM918

  6. << Experiences >>RainFall Observed by Vaisala WXT510

  7. << Experiences >>RainFall Observed by WM918

  8. WXT510 WM918 (2008-08-17)

  9. Important Lessons • A user cannot actually use the data without identifying the background difference !! • In the example, the method of observation must be identified. • Structural difference • Sampling rate • Moving average • Accuracy • ... • This is also true to the other semantic differences.

  10. Outline • Multi-Domain Sensor Networking • Experiences in Live E! Project • Space of the Semantics • Managing Semantic Interoperability • Summary

  11. Space of the Semantics 35.8 Location Latitude, Longitude Geographical Address Room No. Location in a room Data observed by a sensor S Time Type of Observation Temperature in ℃ Humidity in % Air Pressure in hPa Surroundings Building, Park Lake, River Road, Tunnel Outside, Inside In front of a kitchen Internal Properties Method of observation Moving average Sampling ratio Accuracy Noise ratio Purpose of Deployment Analysis of heat island phenomenon Flooding protection Facility management

  12. Outline • Multi-Domain Sensor Networking • Experiences in Live E! Project • Space of the Semantics • Managing Semantic Interoperability • Summary

  13. Managing Semantic Interoperability • Consistency of the Description • In-Network Semantics Operation • Transparent Data Delivery • Data Delivery with Transformation

  14. Managing Semantic Interoperability in Multi-Domain Systems Consistency of the Description Inconsistent in Granularity Completely Inconsistent and not useful Syntax level consistency should be guaranteed.

  15. Managing Semantic Interoperability • Consistency of the Description • In-Network Semantics Operation • Transparent Data Delivery • Data Delivery with Transformation

  16. << In-Network Semantics Operation >> Transparent Data Delivery WXT510 WXT510 ( SensorModel ) Space of the Semantics User WM918 WM918 A user can identify the semantics of the data and process them in their own manner Data Flow

  17. << In-Network Semantics Operation >>Data Delivery with Semantics Transformation Semantics Transformation WXT510 User A UA ( SensorModel ) Space of the Semantics WM918 User B UB Data Flow

  18. Outline • Multi-Domain Sensor Networking • Experiences in Live E! Project • Space of the Semantics • Managing Semantic Interoperability • Summary

  19. Summary • Users need the semantics of sensor data.  Semantic interoperability in multi-domain sensor networks. • Management of the semantic space • Very large space • Consistency of the description • Data delivery with/without transformation

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