Continuous Semantics to Analyze Real-Time Data
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)
Published in IEEE Internet Computing, Volume 14, Issue 6, 2010, pages 84-89.
© IEEE, 2010
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