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Extended Semantic Infrastructure for Jefferson Project

Extended Semantic Infrastructure for Jefferson Project. Paulo Pinheiro Deborah McGuinness. Semantic Contributions. Three are the areas of potential impact for Semantic Technology within the Jefferson Project: Management of Human Interventions on Sensor Networks

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Extended Semantic Infrastructure for Jefferson Project

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  1. Extended Semantic Infrastructure for Jefferson Project Paulo Pinheiro Deborah McGuinness

  2. Semantic Contributions Three are the areas of potential impact for Semantic Technology within the Jefferson Project: • Management of Human Interventions on Sensor Networks • Management of External Data in Non-Compliant ODM Formats • Management of Knowledge About Simulation Results

  3. Data Processing Site External Data Source A App. 1 (Model) App. 2 App. N DB2 External Data Source B RDB ICS Aggregator Internet Darrin Fresh Water Institute ICS Client 1 ICS Client 2 ICS Client M Sensor 3 Sensor 1 Sensor 2 Sensor K

  4. Management of Human Interventions on Sensor Networks • What configuration parameters are in use in Sensor 1? • Who decided the config parameters for Sensor 2? • What was the time resolution used on Sensor N in August 7th, 2013? • What datasets have been affected by the Sensor 1’s low time resolution parameter in place on October 13th, 2013?

  5. Data Processing Site App. 1 (Model) App. 2 App. N DB2 RDF RDB ICS Aggregator Internet Darrin Fresh Water Institute ICS Client 1 Desktop (Knowledge Elicitation App) ICS Client 2 ICS Client M Sensor 3 Sensor 1 Sensor 2 Sensor K

  6. Management of External Data in Non-Compliant ODM Formats • What Non-CSV datasets contain weather information? • Which datasets from NOAA contain cloud coverage in Lake George as on September 21st, 2013? • Which tools should I use to browse a dataset in NetCDF? And if the dataset is in HDF5?

  7. Data Processing Site External Data Source A App. 1 (Model) App. 2 App. N DB2 External Data Source B PRIZMS RDF RDB ICS Aggregator Internet Darrin Fresh Water Institute ICS Client 1 ICS Client 2 ICS Client M Sensor 3 Sensor 1 Sensor 2 Sensor K

  8. Management of Knowledge About Simulation Results • Which simulation parameters lead to results more comparable with observed circulation data? • Which range of values should be ignored for each simulation parameter used in the simulation of salt run off?

  9. Data Processing Site App. 1 (Model) App. 2 App. N DB2 PRIZMS RDF RDB ICS Aggregator Internet Darrin Fresh Water Institute ICS Client 1 ICS Client 2 ICS Client M Sensor 3 Sensor 1 Sensor 2 Sensor K

  10. Summary • RDF triples can be used for the management of non-automated aspects of the JP’s sensor network, as well as with the use of datasets in non-tabular formats • Management of RDF triples can be accomplished with the use of the following: • TWC’s Prizms • IBM’s DB2/RDF module

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