Demo: approximate semantic matching in the collider event processing engine

Authors:
Souleiman Hasan;Kalpa Gunaratna;Yongrui Qin;Edward Curry
Affiliations:
Digital Enterprise Research Institute, National University of Ireland, Galway, Galway, Ireland;Kno.e.sis Center, Wright State University, Dayton, OH, USA;School of Computer Science, University of Adelaide, Adelaide, Australia;Digital Enterprise Research Institute, National University of Ireland, Galway, Galway, Ireland
Venue:
Proceedings of the 7th ACM international conference on Distributed event-based systems
Year:
2013

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Approximate semantic matching of heterogeneous events

Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems

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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.