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Issue No.06 - November/December (2010 vol.14)
pp: 84-89
Amit Sheth , Wright State University
Christopher Thomas , Wright State University
Pankaj Mehra , Inlogy
ABSTRACT
The traditional semantic approach has difficulties dealing with the dynamic domains involved in social, mobile, and sensor webs. Continuous semantics, which captures changing conceptualizations and relevant knowledge, can help us model those domains and analyze the related real-time data.
INDEX TERMS
ontologies, continuous semantics, Semantic Web, Internet, real-time computing, dynamic domains, semantic analysis
CITATION
Amit Sheth, Christopher Thomas, Pankaj Mehra, "Continuous Semantics to Analyze Real-Time Data", IEEE Internet Computing, vol.14, no. 6, pp. 84-89, November/December 2010, doi:10.1109/MIC.2010.137
REFERENCES
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8. P. Mendes, P. Kapanipathi, and A. Passant, "Twarql: Tapping into the Wisdom of the Crowd," Proc. 6th Int'l Conf. Semantic Systems (I-Semantics 10), ACM Press, 2010, pp. 1–3; http://doi.acm.org/10.11451839707.1839762 .
9. A. Sheth, C. Henson, and S. Sahoo, "Semantic Sensor Web," IEEE Internet Computing, vol. 12, no. 4, 2008, pp. 78–83.
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