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Real Time Semantic Analysis of Streaming Sensor Data

Patni, Harshal Kamlesh
http://rave.ohiolink.edu/etdc/view?acc_num=wright1324181415

Abstract Details

2011, Master of Science (MS), Wright State University, Computer Science.
The emergence of dynamic information sources - like social, mobile and sensors, has led to ginormous streams of real time data on the web also called, the era of Big Data [1]. Research studies suggest, these dynamic networks have created more data in the last three years than in the entire history of civilization, and this trend will only increase in the coming years [1]. Gigaom article on Big data shows, how the total information generated by these dynamic information sources has completely surpassed the total storage capacity. Thus keeping in mind the problem of ever-increasing data, this thesis focuses on semantically integrating and analyzing multiple, multimodal, heterogeneous streams of weather data with the goal of creating meaningful thematic abstractions in real-time. This is accomplished by implementing an infrastructure for creating and mining thematic abstractions over massive amount of real-time sensor streams. Evaluation section shows 69% data reduction with this approach.
Amit Sheth, PhD (Advisor)
Ramakanth Kavaluru, PhD (Committee Member)
Krishnaprasad Thirunarayan, PhD (Committee Member)
80 p.
Computer Science; Geographic Information Science
Semantic Web; Semantic Sensor Web; Real-Time Sensor Web; RDF; SPARQL; SSN Ontology; Open Geospatial Consortium; Sensor Web Enablement; Observation and Meausrements

Recommended Citations

Citations

  • Patni, H. K. (2011). Real Time Semantic Analysis of Streaming Sensor Data [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1324181415

    APA Style (7th edition)

  • Patni, Harshal. Real Time Semantic Analysis of Streaming Sensor Data. 2011. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1324181415.

    MLA Style (8th edition)

  • Patni, Harshal. "Real Time Semantic Analysis of Streaming Sensor Data." Master's thesis, Wright State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1324181415

    Chicago Manual of Style (17th edition)

wright1324181415
815
© 2011, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.