This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Continuous Semantics to Analyze Real-Time Data
November/December 2010 (vol. 14 no. 6)
pp. 84-89
ASCII Text
x 
 
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.
 
 
BibTex
x
 
@article{ 10.1109/MIC.2010.137,
author = {Amit Sheth and Christopher Thomas and Pankaj Mehra},
title = {Continuous Semantics to Analyze Real-Time Data},
journal ={IEEE Internet Computing},
volume = {14},
number = {6},
issn = {1089-7801},
year = {2010},
pages = {84-89},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2010.137},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Internet Computing
TI - Continuous Semantics to Analyze Real-Time Data
IS - 6
SN - 1089-7801
SP84
EP89
EPD - 84-89
A1 - Amit Sheth,
A1 - Christopher Thomas,
A1 - Pankaj Mehra,
PY - 2010
KW - ontologies
KW - continuous semantics
KW - Semantic Web
KW - Internet
KW - real-time computing
KW - dynamic domains
KW - semantic analysis
VL - 14
JA - IEEE Internet Computing
ER -
 
Amit Sheth, Wright State University
Christopher Thomas, Wright State University
Pankaj Mehra, Inlogy
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.

1. A. Sheth, D. Avant, and C. Bertram, System and Method for Creating a Semantic Web and Its Applications in Browsing, Searching, Profiling, Personalization and Advertising, US patent 6,311,194, to Taalee Inc., Patent and Trademark Office, 2001.
2. A. Tumasjan et al., "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment," Proc. 4th Int'l AAAI Conf. Weblogs and Social Media, AAAI Press, 2010, pp. 178–185.
3. A. Halevy, P. Norvig, and F. Pereira, "The Unreasonable Effectiveness of Data," IEEE Intelligent Systems, vol. 24, no. 2, 2009, pp. 8–12.
4. M. Nagarajan et al., "Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data — Challenges and Experiences," Web Information Systems Eng. — WISE 2009, LNCS 5802, Springer, 2009, pp. 539–553.
5. C.J. Thomas et al., "What Goes Around Comes Around — Improving Linked Open Data through On-Demand Model Creation," Proc. WebSci10: Extending the Frontiers of Society On-Line, Web Science Trust, 2010; http://journal.webscience.org397.
6. S. Ponzetto and M. Strube, "Deriving a Large Scale Taxonomy from Wikipedia," Proc. 22nd Nat'l Conf. Artificial Intelligence (AAAI 07), AAAI Press, 2007, pp. 1440–1445.
7. C.J. Thomas et al., "Growing Fields of Interest — Using an Expand and Reduce Strategy for Domain Model Extraction," Proc. IEEE/WIC/ACM Intl Conf. Web Intelligence and Intelligent Agent Technology (WI-IAT 08), IEEE Press, 2008, pp. 496–502.
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.

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, Nov.-Dec. 2010, doi:10.1109/MIC.2010.137
Usage of this product signifies your acceptance of the Terms of Use.