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End-to-End Semantics for Sensor Net 2.0 Prashant Doshi Asst. Professor of Computer Science University of Georgia

UGA. End-to-End Semantics for Sensor Net 2.0 Prashant Doshi Asst. Professor of Computer Science University of Georgia. Generic sensor data publication portal e.g. MSR SenseWeb. Personal sensor data publication portal. Sensor Mashups . Semantic Querying and Data Fusion.

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End-to-End Semantics for Sensor Net 2.0 Prashant Doshi Asst. Professor of Computer Science University of Georgia

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  1. UGA End-to-End Semantics for Sensor Net 2.0Prashant DoshiAsst. Professor of Computer ScienceUniversity of Georgia

  2. Generic sensor data • publication portal • e.g. MSR SenseWeb Personal sensor data publication portal Sensor Mashups Semantic Querying and Data Fusion Semantic Reconciliation for Publication Ontology Mapping (MSR SensorMap Project – PI: Doshi) • Semantic Data Models • e.g. Ontologies as meta-data instances instances Sensor net data Sensor net data Semantic Commn. Model End-to-End Semantics for Sensor Net 2.0 Semantic Middle Layer Publish • Expensive and complex • sensor nets • Utilities for scientific and educational use

  3. End-to-End Semantics for Sensor Net 2.0 • Semantic sensor data models • Ontologies as meta-data • Tools: SensorML, OWL or RDF(S) • Sensor data as instances of ontological concepts • Semantic sensor meta-data reconciliation • Ontology mapping and merging • Current research maturing • Facilitates publication and querying of disparate sensor data • Transfer sensor data across reconciled ontologies • Semantic querying and data integration • Query instances and meta-data • Tools: SPARQL for RDF data • Facilitates meaningful data fusion

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