Continuous Semantics to Analyze Real-Time Data

Author(s)

Amit P. Sheth, University of South Carolina - ColumbiaFollow
Christopher Thomas
Pankaj Mehra

Document Type

Article

Abstract

Increasingly we are presented with dynamic domains involved in social, mobile, and sensor webs. Such domains are spontaneous (arising suddenly), follow a period of rapid evolution, involving real-time or near real-time data, involve many distributed participants and diverse viewpoints involving topical or contentious subjects, and involve feature context colored by local knowledge and sociocultural backgrounds. This article present continuous semantics can help us model such dynamic domains and analyze the related real-time data. Capabilities include crating dynamic domain model by mining social data, and using dynamic models for semantic analysis of real-time data.

Digital Object Identifier (DOI)

https://doi.org/10.1109/MIC.2010.137

Publication Info

Published in IEEE Internet Computing, Volume 14, Issue 6, 2010, pages 84-89.

© IEEE, 2010

APA Citation

Sheth, A. P., Thomas, C., & Mehra, P. (2010). Continuous Semantics to Analyze Real-Time Data. IEEE Internet Computing, 14 (6), 84-89. https://doi.org/10.1109/MIC.2010.137