SSN Applications
The W3C Semantic Sensor Network Incubator Group has recently developed the Semantic Sensor Network (SSN) ontology that enables expressive representation of sensors, sensor observations, and knowledge of the environment. The SSN ontology is encoded in the Web Ontology Language (OWL) and has begun to achieve broad adoption and application within the sensors community. It is currently being used by various organizations, from academia, government, and industry, for improved management of sensor data on the Web, involving annotation, integration, publishing, and search.
Related Material
- Semantic Sensor Network XG (Wiki, Final Report)
- The SSN Ontology of the W3C Semantic Sensor Network Incubator Group (Journal of Web Semantics, 2012)
Projects
Semantic Perception
Currently, there are many sensors collecting information about our environment, leading to an overwhelming number of observations that must be analyzed and explained in order to achieve situation awareness. As perceptual beings, we are also constantly inundated with sensory data; yet we are able to make sense out of our environment with relative ease. By drawing inspiration from cognitive models of perception, we can improve machine perception by defining an ontology of perception to enable integration of external knowledge (i.e., Linked Data) to better enable machines to perceive.
Use of SSN: By providing formal definition for concepts in the domain of sensing (such as observable property and feature of interest), the Semantic Sensor Network (SSN) ontology serves as a foundation for an ontology of perception. The SSN ontology provides the terminology for describing observations and knowledge of the environment, both of which are critical for perceptual interpretation.
Contact: Cory Henson (Kno.e.sis, Wright State University)
Related Material
- Semantic Perception: Converting Sensory Observations to Abstractions (IEEE Internet Computing, Special Issue on Context-Aware Computing, March/April 2012)
- An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web (Applied Ontology, 2011)
SECURE: Semantics Empowered Rescue Environment
SECURE is a Semantic Web enabled system for collecting and processing sensor data within a rescue environment. The real-time system collects heterogeneous raw sensor data from rescue robots through a wireless sensor network. The raw sensor data is converted to RDF using the Semantic Sensor Network (SSN) ontology and further processed to generate abstractions used for event detection in emergency scenarios.
Use of SSN: The observation data originating from temperature sensors, carbon-dioxide sensors, carbon-monoxide sensors, etc. are encoded in RDF, conformant to SSN, which enables integration and analysis to derive knowledge of events, such as fire.
Contact: Cory Henson (Kno.e.sis, Wright State University)
Related Material
- SECURE: Semantics Empowered Rescue Environment (SSN, 2011)
