The SSN ontology of the W3C semantic sensor network incubator group

J. Web Sem., pp. 25-32, 2012.

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sensorsontologiessensor networkontologysemantic interoperability
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In allowing the TBox/ABox division discussed in Secplate request from Sensor Web Enablement services, the framework can resolve tion 8.1, the SSN ontology allows class and instance definitions the semantics of the Sensor Web Enablement descriptions, taking into account for to be ...

摘要

The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL¿2 ontology to describe sensors and observations - the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN...更多

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简介
  • Observations, and the sensors that obtain them, are at the core of empirical science.
  • The W3C Semantic Sensor Network Incubator group (SSNXG) defined an OWL 2 [9] ontology to describe the capabilities and properties of sensors, the act of sensing and the resulting observations.
  • The device discovery and selection use case, for example, requires the ontology to represent sensor types, models, methods of operation and common metrological definitions like accuracy, precision, measurement range, and the like, allowing sensor capabilities to be defined relative to prevailing conditions.
重点内容
  • Observations, and the sensors that obtain them, are at the core of empirical science
  • The device discovery and selection use case, for example, requires the ontology to represent sensor types, models, methods of operation and common metrological definitions like accuracy, precision, measurement range, and the like, allowing sensor capabilities to be defined relative to prevailing conditions
  • The SSO pattern describes a sensor in terms of its stimulus, sensing method, and the observations it makes
  • Sensing devices, are often described by a data sheet that lists properties observed of the sensor in various conditions
  • Temporal properties could be included by specifying a date for deployment processes or by including a time ontology, perhaps treating time as observable and classifying time concepts into the DUL hierarchy
  • In allowing the TBox/ABox division discussed in Secplate request from Sensor Web Enablement services, the framework can resolve tion 8.1, the SSN ontology allows class and instance definitions the semantics of the Sensor Web Enablement descriptions, taking into account for to be managed in separate ontologies, perhaps by separate auexample property or sensor hierarchies, and uses SWRL rules thorities, an option not available for SensorML: for example, to match and convert compatible units
结果
  • The SSO pattern describes a sensor in terms of its stimulus, sensing method, and the observations it makes.
  • Sensing devices, are often described by a data sheet that lists properties observed of the sensor in various conditions.
  • A measurement capability instance collects together observed properties of a sensor in the conditions specified.
  • Systems or sensors and temporal properties of deployments are areas where other ontologies are required to fill in the details.
  • Temporal properties could be included by specifying a date for deployment processes or by including a time ontology, perhaps treating time as observable and classifying time concepts into the DUL hierarchy.
  • The general structure for describing operating and survival ranges is the same as for sensors and measurement capabilities, they are observable properties of systems.
  • The function is documented as a string, but could be expressed in MathML [20], as a program fragment, or described using an ontology for processes and workflows, such as one based on OWL-S12 or PML13 — such formal definitions can be used to construct sensors from specifications [21].
结论
  • The SSN ontology and the SSO pattern are key for the Semantic Sensor Web and Linked Sensor Data work at 52◦North.18 The ontology and SSO pattern are used in the implementation of a transparent and RESTful proxy for OGC’s Sensor Observation Service (SOS).
  • The SSO pattern, the bulk of the sensor concepts and of a new sensor, the framework can interpret the metadata deployments in separate ontologies.
  • In allowing the TBox/ABox division discussed in Secplate request from SWE services, the framework can resolve tion 8.1, the SSN ontology allows class and instance definitions the semantics of the SWE descriptions, taking into account for to be managed in separate ontologies, perhaps by separate auexample property or sensor hierarchies, and uses SWRL rules thorities, an option not available for SensorML: for example, to match and convert compatible units.
总结
  • Observations, and the sensors that obtain them, are at the core of empirical science.
  • The W3C Semantic Sensor Network Incubator group (SSNXG) defined an OWL 2 [9] ontology to describe the capabilities and properties of sensors, the act of sensing and the resulting observations.
  • The device discovery and selection use case, for example, requires the ontology to represent sensor types, models, methods of operation and common metrological definitions like accuracy, precision, measurement range, and the like, allowing sensor capabilities to be defined relative to prevailing conditions.
  • The SSO pattern describes a sensor in terms of its stimulus, sensing method, and the observations it makes.
  • Sensing devices, are often described by a data sheet that lists properties observed of the sensor in various conditions.
  • A measurement capability instance collects together observed properties of a sensor in the conditions specified.
  • Systems or sensors and temporal properties of deployments are areas where other ontologies are required to fill in the details.
  • Temporal properties could be included by specifying a date for deployment processes or by including a time ontology, perhaps treating time as observable and classifying time concepts into the DUL hierarchy.
  • The general structure for describing operating and survival ranges is the same as for sensors and measurement capabilities, they are observable properties of systems.
  • The function is documented as a string, but could be expressed in MathML [20], as a program fragment, or described using an ontology for processes and workflows, such as one based on OWL-S12 or PML13 — such formal definitions can be used to construct sensors from specifications [21].
  • The SSN ontology and the SSO pattern are key for the Semantic Sensor Web and Linked Sensor Data work at 52◦North.18 The ontology and SSO pattern are used in the implementation of a transparent and RESTful proxy for OGC’s Sensor Observation Service (SOS).
  • The SSO pattern, the bulk of the sensor concepts and of a new sensor, the framework can interpret the metadata deployments in separate ontologies.
  • In allowing the TBox/ABox division discussed in Secplate request from SWE services, the framework can resolve tion 8.1, the SSN ontology allows class and instance definitions the semantics of the SWE descriptions, taking into account for to be managed in separate ontologies, perhaps by separate auexample property or sensor hierarchies, and uses SWRL rules thorities, an option not available for SensorML: for example, to match and convert compatible units.
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