Detecting influenza epidemics based on real-time semantic analysis of Twitter streams
Abstract
The paper presents a method for detecting influenza rates in a geographical region, using the knowledge extracted from Twitter messages. The novelty consists of using fuzzy description logic for linking natural language in Twitter streams with formal reasoning in description logic. In order to analyze the data in a medical context, the content of a Twitter post is transformed into the RDF stream format, and queried using the C-SPARQL query language. The conducted research lies in the larger context of semantic stream reasoning.
Full citation
"Detecting influenza epidemics based on real-time semantic analysis of Twitter streams", Radu Balaj and Adrian Groza, Modelling and Development of Intelligent System (MDIS '13), Sibiu, Romania, 10-12 October 2013 Lucian Blaga University Press, pp. 30-39, 2013.