@inproceedings{Hasan,
abstract = {This demo presents a use case from the energy management domain. It builds upon previous work on approximate semantic matching of heterogeneous events and compares two semantic matching scenarios: exact and approximate. It illustrates how a large number of exact matching event subscriptions are needed to match heterogeneous power consumption events. It then demonstrates how a small number of approximate semantic matching subscriptions are needed but possibly with a lower true positives/negatives performance. The demo is delivered via the COLLIDER approximate event processing engine currently under development in DERI.},
address = {Arlington, Texas, USA},
author = {Hasan, Souleiman and Gunaratna, Kalpa and Qin, Yongrui and Curry, Edward},
booktitle = {7th ACM International Conference on Distributed Event-Based Systems (DEBS 2013)},
editor = {Chakravarthy, Sharma and Urban, Susan D. and Pietzuch, Peter and Rundensteiner, Elke and Dietrich, Suzanne W.},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Hasan et al. - 2013 - Approximate Semantic Matching in the COLLIDER Event Processing Engine (Demo).pdf:pdf},
keywords = {Approximate Event Matching,Loose Semantic Coupling,Semantic Matching.},
pages = {337--338},
publisher = {ACM},
title = {{Approximate Semantic Matching in the COLLIDER Event Processing Engine (Demo)}},
url = {http://www.edwardcurry.org/publications/DEBS2013_COLLIDER_DEMO.pdf},
year = {2013}
}