Title :
Continuous Semantics to Analyze Real-Time Data
Author :
Sheth, Amit ; Thomas, Christopher ; Mehra, Pankaj
Author_Institution :
Wright State Univ., Dayton, OH, USA
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.
Keywords :
data analysis; real-time systems; semantic Web; conceptual change; continuous semantics; knowledge relevance; real time data analysis; Analytical models; Electronic publishing; Encyclopedias; Internet; Real time systems; Semantics; Internet; Semantic Web; continuous semantics; dynamic domains; ontologies; real-time computing; semantic analysis;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/MIC.2010.137
