ISSUE-8: SSN Ontology and Semantic Markup example: sensor performance (rainfall intensity) and value-adding annotations for extreme weather events
Weather station / Severe weather event example
SSN Ontology and Semantic Markup example: sensor performance (rainfall intensity) and value-adding annotations for extreme weather events
- State:
- POSTPONED
- Product:
- W3C Semantic Sensor Network Semantic Markup Report
- Raised by:
- Laurent Lefort
- Opened on:
- 2010-06-15
- Description:
- In the talk I have made at the Metadata Australia conference last month http://www.w3.org/2005/Incubator/ssn/wiki/images/7/7e/Semantically-enabled_Standard_Development-27May.pdf , I have developed an example based on how rainfall sensors respond in extreme conditions which highlights the need to model how different rainfall sensors perform at high levels of rainfall intensity (see slide 3 to 6).
Should we use this scenario to illustrate the corresponding parts of the XG ontology (e.g. Measurement Capabilities)?
Should we also use this pitch (especially the part which explain the added value could be brought by semantic annotations in such cases) for the Semantic Markup deliverable?
Do you have similar examples which could be merged with this one?
- Related Actions Items:
- No related actions
- Related emails:
- SSN-XG Meeting Minutes 16 June 2010 (from Laurent.Lefort@csiro.au on 2010-06-22)
- SSN-XG Meeting Reminder 16-June-2010 (from Laurent.Lefort@csiro.au on 2010-06-16)
- ISSUE-8 (Weather station / Severe weather event example): SSN Ontology and Semantic Markup example: sensor performance (rainfall intensity) and value-adding annotations for extreme weather events (from sysbot+tracker@w3.org on 2010-06-15)
Related notes:
- Used in the Motivating Use Cases section of the XG report
http://www.w3.org/2005/Incubator/ssn/wiki/Report_Motivating_Use_cases#Device_Discovery_and_Selection
- Not used as a semantic markup example (but still a valid one once the capabilities of sensors in extreme conditions are documented/published as linked data using the SSN XG ontology)
- The extreme weather (blizzard) scenario is used in other publications from KNOESIS e.g. "From Real Time Sensor Streams to Real Time Feature Streams" http://knoesis.wright.edu/library/download/WWW_Demo2011_Harshal.pdf
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