Semantic Challenges for Sensor Plug & Play

The goal of the Sensor Web Enablement (SWE) initiative of the Open Geospatial Consortium (OGC) is the definition of web service interfaces and data encodings to make sensors discoverable, taskable and accessible on the World Wide Web. The SWE specifications enable a standardized communication and interaction with arbitrary types of sensors and sensor systems. The central concepts within OGC’s Sensor Web architecture are sensors, observations and features of interest. Sensors and their observations can be registered and stored through the Sensor Observation Service (SOS) to make them accessible for clients. So far, mechanisms are missing which support a semantic matching between features of interest stored in a database and referred to by an observation. The same applies for the matching between observations as sensor outputs and the properties of the features of interest. By taking a use case from disaster management, we outline the challenges and demonstrate how semantically annotated SWE data models and service interfaces support semantic matching. The result is a roadmap towards a semantically enabled sensor plug & play within the Sensor Web.

[1]  Alan F. Smeaton,et al.  A Sensing Platform for Physiological and Contextual Feedback to Tennis Athletes , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.

[2]  Dean Allemang,et al.  Semantic web for the working ontologist : modeling in RDF, RDFS and OWL , 2008 .

[3]  Krzysztof Janowicz,et al.  Algorithm, Implementation and Application of the SIM-DL Similarity Server , 2007, GeoS.

[4]  Alan F. Smeaton,et al.  Views from the coalface : chemo-sensors, sensor networks and the semantic sensor web , 2009 .

[5]  Christoph Stasch,et al.  A Stimulus-Centric Algebraic Approach to Sensors and Observations , 2009, GSN.

[6]  Jérôme Euzenat,et al.  Ten Challenges for Ontology Matching , 2008, OTM Conferences.

[7]  Amit P. Sheth,et al.  SemSOS: Semantic sensor Observation Service , 2009, 2009 International Symposium on Collaborative Technologies and Systems.

[8]  Kathleen Stewart,et al.  Linking Geosensor Network Data and Ontologies to Support Transportation Modeling , 2006, GSN.

[9]  Christoph Stasch,et al.  A Transparent Semantic Enablement Layer for the Geospatial Web , 2009 .

[10]  Nicola Guarino,et al.  Formal Ontology and Information Systems , 1998 .

[11]  Zahir Tari,et al.  On the Move to Meaningful Internet Systems: OTM 2008 , 2008, Lecture Notes in Computer Science.

[12]  Krzysztof Janowicz,et al.  SIM-DLA: A Novel Semantic Similarity Measure for Description Logics Reducing Inter-concept to Inter-instance Similarity , 2009, ESWC.

[13]  Werner Kuhn.  A Functional Ontology of Observation and Measurement , 2009, GeoS.

[14]  Stevan Harnad.  The Symbol Grounding Problem , 1999, ArXiv.

[15]  Krzysztof Janowicz,et al.  Grounding Geographic Categories in the Meaningful Environment , 2009, COSIT.

[16]  Amit P. Sheth,et al.  Semantic Sensor Web , 2008, IEEE Internet Computing.

[17]  Werner Kuhn,et al.  Semantic reference systems , 2003, Int. J. Geogr. Inf. Sci..

[18]  Amit P. Sheth,et al.  A Survey of the Semantic Specification of Sensors , 2009, SSN.

[19]  George Percivall,et al.  Ogc® sensor web enablement:overview and high level achhitecture. , 2007 .

[20]  Florian Probst,et al.  Giving Meaning to GI Web Service Descriptions , 2004, WSMAI.

[21]  Werner Kuhn,et al.  Semantic interoperability: A central issue for sharing geographic information , 1999 .

[22]  Florian Probst,et al.  Spatial Dimensionality as a Classification Criterion for Qualities , 2006, FOIS.