Continuous Semantics to Analyze Real-Time Data

TitleContinuous Semantics to Analyze Real-Time Data
Publication TypeJournal Article
Year of Publication2010
AuthorsAmit Sheth, Christopher Thomas, Pankaj Mehra
JournalIEEE Internet Computing
Volume14
Pagination84-89
Keywordscircle of knowledge life, Continuous Semantics, Doozer, Dynamic Domain model, real time search, real-time social data, semantic analysis of real-time data, semantic annotation of social data, Semantic Web
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.

Full Text

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
research center: Kno.e.sis
project: STT

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