Real Time Semantic Analysis of Streaming Sensor Data

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Harshal Patni, "Real Time Semantic Analysis of Streaming Sensor Data," MS Thesis Defense, Kno.e.sis Center, Wright State University, Dayton OH, March 21, 2001.

More at: http://wiki.knoesis.org/index.php/SSW
Dissertation Advisor: Prof. Amit Sheth

Published in: Education, Technology, Business
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  • Good Morning Everyone. My name is Harshal Patni and I am here to present my thesis on Streaming Sensor Data but Before we begin lets have a look at how web data evolved over time
  • Social media is the dominant source of streaming data now, however in future sensors would …Data needs to be reduced
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsMarket the datasets we added on LOD
  • Move this slide above
  • Remove the precipitation (in) and also show the general streamAdd the image taken on the phoneRemove the stuff on left when you show select, join and analyze`
  • Remove the precipitation (in) and also show the general streamAdd the image taken on the phoneRemove the stuff on left when you show select, join and analyze`
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsMarket the datasets we added on LOD
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsMarket the datasets we added on LOD
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsAdd linked Sensor Data when highlightThe output of these phases is called LSD and its added on LOD
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsMarket the datasets we added on LOD
  • Get all sensors using well known location names – Problem to be solveAssociate sensor descriptions to well know locations.
  • Get all sensors using well known location names – Problem to be solve
  • Say the numbers in the table
  • RDF because of LOD
  • Highlight the important points in MesoWest DataThe sensor data file just 3 linesMapping file - shorten
  • Emphasize semantically annotated O&MAnd its an XMLTry to replace the cory/weather.owl
  • Use the ssn ontologyAdd the image of ontology for the (Sensor Ontology)http://www.w3.org/2005/Incubator/ssn/wiki/Report_Work_on_the_SSN_ontology
  • Add in block letters saying this is semantically annotated XML and RDF
  • Add Pubby to show derefenced dataPubby should be large to show what it is
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsMarket the datasets we added on LOD
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsMarket the datasets we added on LOD
  • Replace Air Temperature with Non Freezing Temperature
  • Replace Rain Precipitation with PrecipitationSame with airtempearure - temperature
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsMarket the datasets we added on LOD
  • Highlight the query with 3 boxes to show the temp,windspeed and precipitation streamHighlight the feature results too
  • Talk about the observations and features storage
  • Remove the precipitation (in) and also show the general streamAdd the image taken on the phoneRemove the stuff on left when you show select, join and analyze`
  • Linked Data explodes
  • To walk through the implementation, lets take a sample questionThe question might look trivial, but it contains 3 important partsMarket the datasets we added on LOD
  • Linked Data explodes
  • % of FeaturesThrow the text on the top for the statisticsMiddle of storm and hence we have 70 % data reductionElse it would be more
  • ×