ISSNIP

Event Name Seminar by Amit Sheth ( Kno.e.sis Center, Computer Science & Engineering, Wright State University),on Semantic Sensor Web
Start Date 1st Aug 2008 12:30pm
End Date 1st Aug 2008 1:30pm
Duration 1 hour
Description

Title: Semantic Sensor Web 

Location: Brown Theater, Building 193, Dept of EEE, The University of Melbourne 

Abstract:
Sensors are distributed across the globe leading to an avalanche of data about our environment. It is possible today to utilize networks of sensors to detect and identify a multitude of observations, from simple phenomena to complex events and situations. The lack of integration and communication between these networks, however, often isolates important data streams and intensifies the existing problem of too much data and not enough knowledge. With a view to addressing this problem, the Semantic Sensor Web (SSW) proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual information essential for situational knowledge.

Background reading: Amit Sheth, Cory Henson, Satya S. Sahoo, "Semantic Sensor Web," IEEE Internet Computing, vol. 12,  no. 4,  pp. 78-83,  Jul/Aug,  2008.
http://knoesis.wright.edu/research/semsci/application_domain/sem_sensor/

Index Terms- Semantics and services, Semantic Web, Sensor Networks, Situation Awareness, Semantic Sensor Web


Amit Sheth is the LexisNexis Ohio Eminent Scholar for Advanced Data Management and Analysis at the Wright State University. He directs the Kno.e.sis Center (http://knoesis.org) for Knowledge enabled Information & Services Science, a world leader in Semantic, Social, and Services computing over Web infrastructure. Prof. Sheth is an IEEE fellow, has received awards such as the IBM Faculty award, has published extensively, and is among the best-cited authors in computer science (h index = 54). He has given more than 200 invited talks including 30+ keynotes, is EIC of ISI indexed Intl. Journal of Semantic Web & Information Systems (http://ijswis.org), is joint-EIC of Distributed & Parallel Databases, and serves on several editorial boards. By licensing his funded university research, he has also founded and managed two successful companies. Several commercial products and many operationally deployed applications have resulted from his R&D..

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