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Everything about Semantic Sensor Web

The Semantic Sensor Web (SSW) is a marriage of sensor web and semantic Web technologies. The encoding of sensor descriptions and sensor observation data with Semantic Web languages enables more expressive representation, advanced access, and formal analysis of sensor resources. The SSW annotates sensor data with spatial, temporal, and thematic semantic metadata. This technique builds on current standardization efforts within the Open Geospatial Consortium's Sensor Web Enablement (SWE) and extends them with Semantic Web technologies to provide enhanced descriptions and access to sensor data. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Semantic Sensor WebA 5-minute orientation
  2. Skim a recent paper: Towards a semantic structure for classifying IoT agriculture sensor datasets : An approach based on machine learning and web semantic technologiesInfluential work since 2022
  3. Pick up a classic book: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling ChallengesThe most-reprinted book on the subject
  4. Read the landmark paper: Semantic Sensor WebCited 463 times
  5. Go sideways: Amit ShethA closely related topic
  6. Go sideways: Observations and MeasurementsA closely related topic

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🆕 Influential since 2022

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