Prateek Jain

• Semantic Sensor Web
  Effective automation of sensor data fusion requires ability to translate heterogeneous sensor data into a common format, to register data accurately within a common spatiotemporal reference frame, and to identify and associate cross-modal phenomenal attributes. To accomplish this task, Semantic Sensor Web is extending state-of-the-art sensor data representation languages, SensorML and TransducerML, to integrate semantic associations into sensor models
  
  
  • Cory Henson,  Amit Sheth , Prateek Jain,Josh Pschorr, and Terry Rapoch." Video on the Semantic Sensor Web",  W3C Video on the Web Workshop 12-13 December 2007, San Jose, California and Brussels, Belgium

• Query Re-writing for Spatial-Temporal-Thematic Data
  The advent of location aware services has led to the availability of spatial information about different activities,events and phenomena on the web. Most of the existing technologies query data by strictly matching query constraints with clauses in the knowledge sources. Spatial information poses an interesting scenario, where query constraints can be satisfied by looking for solutions at different level of granularity than the ones encoded in the query.An example of such a query is  
         

           "Find dams in the state of Ohio"

If the knowledge base contains information about the dams at the level of counties,there is a mismatch between the query constraints and the available information.We believe the issue of mismatch can be addressed by aggregating source spatial objects to form complex spatial objects using logical relationships such as partonomy,aggregation etc.We try to harness these logical relationships in re-writing queries to address such mismatches.A related challenge is to keep this query re-writing framework domain independent with little or no modification in the basic framework.

• Matthew Perry, Amit Sheth, Farshad Hakimpour, Prateek Jain .Supporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data, Second International Conference on Geospatial Semantics (GEOS '07), Mexico City, MX, November 29 - 30, 2007