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Knowledge-Enabled Complex Event Processing-based platform for health monitoring

Authors:
Francesco Nocera
Tommaso Di Noia
Marina Mongiello
Eugenio Di Sciascio

Keywords: Complex Event Processing; Semantic Web; knowledge Representation; Health monitoring.

Abstract:
An increasing number of applications that require real-time or near-real time processing of high-volume of data streams are changing the way that traditional data processing systems infrastructures operate. Timeliness and flow processing are crucial for justifying the need for developing a new class of systems that are capable of processing not only generic data, but also event notifications coming from different source to identify interesting situations, with respect to traditional Database Management System (DBMS). Accordingly, different systems emerged and are competing in the last years, namely Information Flow Processing (IFP) systems. In this paper we discuss how semantic technologies can contribute to the field of complex event and study their support in health monitoring domain. Complex Event Processing (CEP) systems associate a precise semantics to the information items being processing.We propose an approach that combines Semantic Web methodologies and CEP model in a health monitoring platform.

Pages: 83 to 86

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-507-4

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016