by Souleiman Hasan, Sean O'Riain, Edward Curry
Abstract:
Event-based systems have loose coupling within space, time and synchronization, providing a scalable infrastructure for information exchange and distributed workflows. However, event-based systems are tightly coupled, via event subscriptions and patterns, to the semantics of the underlying event schema and values. The high degree of semantic heterogeneity of events in large and open deployments such as smart cities and the sensor web makes it difficult to develop and maintain event-based systems. In order to address semantic coupling within event-based systems, we propose vocabulary free subscriptions together with the use of approximate semantic matching of events. This paper examines the requirement of event semantic decoupling and discusses approximate semantic event matching and the consequences it implies for event processing systems. We introduce a semantic event matcher and evaluate the suitability of an approximate hybrid matcher based on both thesauri-based and distributional semantics-based similarity and relatedness measures. The matcher is evaluated over show that the approach matches a representation of Wikipedia and Freebase events. Initial evaluations events structured with maximal combined precision-recall F1 score of 75.89% on average in all experiments with a subscription set of 7 subscriptions. The evaluation shows how a hybrid approach to semantic event matching outperforms a single similarity measure approach.
Reference:
Souleiman Hasan, Sean O'Riain, Edward Curry, "Approximate Semantic Matching of Heterogeneous Events", In 6th ACM International Conference on Distributed Event-Based Systems (DEBS 2012), ACM, Berlin, Germany, pp. 252-263, 2012. [slides]
Bibtex Entry:
@inproceedings{Hasan2012,
abstract = {Event-based systems have loose coupling within space, time and synchronization, providing a scalable infrastructure for information exchange and distributed workflows. However, event-based systems are tightly coupled, via event subscriptions and patterns, to the semantics of the underlying event schema and values. The high degree of semantic heterogeneity of events in large and open deployments such as smart cities and the sensor web makes it difficult to develop and maintain event-based systems. In order to address semantic coupling within event-based systems, we propose vocabulary free subscriptions together with the use of approximate semantic matching of events. This paper examines the requirement of event semantic decoupling and discusses approximate semantic event matching and the consequences it implies for event processing systems. We introduce a semantic event matcher and evaluate the suitability of an approximate hybrid matcher based on both thesauri-based and distributional semantics-based similarity and relatedness measures. The matcher is evaluated over show that the approach matches a representation of Wikipedia and Freebase events. Initial evaluations events structured with maximal combined precision-recall F1 score of 75.89% on average in all experiments with a subscription set of 7 subscriptions. The evaluation shows how a hybrid approach to semantic event matching outperforms a single similarity measure approach.},
address = {Berlin, Germany},
annote = {<a href="http://www.slideshare.net/edwardcurry/approx-semanticmatching-slideshare">[slides]</a>},
author = {Hasan, Souleiman and O'Riain, Sean and Curry, Edward},
booktitle = {6th ACM International Conference on Distributed Event-Based Systems (DEBS 2012)},
doi = {http://dx.doi.org/10.1145/2335484.2335512},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Hasan, O'Riain, Curry - 2012 - Approximate Semantic Matching of Heterogeneous Events.pdf:pdf},
keywords = {Approximate Event Matching,COLLIDER,LEIdataspace,Semantic Decoupling,Semantic Event Matching.},
mendeley-tags = {COLLIDER,LEIdataspace},
pages = {252--263},
publisher = {ACM},
title = {{Approximate Semantic Matching of Heterogeneous Events}},
url = {http://www.edwardcurry.org/publications/Hasan_DEBS_2012.pdf},
year = {2012}
}