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Semantic Reconciliation of Sensor Net Meta-Data

Semantic Reconciliation of Sensor Net Meta-Data. 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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Semantic Reconciliation of Sensor Net Meta-Data

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  1. Semantic Reconciliation of Sensor Net Meta-Data Prashant 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 Matching (MSR SensorMap Project – PI: Doshi) • Semantic Data Models • e.g. Ontologies as meta-data instances instances Sensor net data Sensor net data Semantic Reconciliation for Automatic Publication Semantic Middle Layer Publish • Expensive and complex • sensor nets • Utilities for scientific and educational use

  3. Ontology Matching • 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 matching and merging • Match provider-defined meta-data with publisher’s ontology • Facilitates publication and querying of disparate sensor data • Transfer sensor data across reconciled ontologies • Our contributions • New lightweight and scalable method for matching ontologies • Compares with the state of the art • Optima: A tool for visual ontology matching • One of few GUI tools for automatic ontology matching

  4. SenseWeb’s SensorType (augmented) OntoSensor Match Quality Space of Matches Optima • Ontology matching uses Expectation-Maximization • Exploit structural and lexical similarities • Graph structure and node labels • Partition ontologies for scalability Based on MIT’s Welkin May converge to local maxima

  5. © 2008 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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