Ontology-based quantitative similarity metric for event matching in publish/subscribe system

Author:

Kim Hongjae,Kang Sanggil,Oh Sangyoon

Funder

MSIP of Korea

NIPA

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference32 articles.

1. Matching events in a content-based subscription system;Aguiler;Proceedings of the 18th ACM Symposium on Principles of Distributed Computing,1999

2. BE-Tree: an index structure to efficiently match boolean expressions over high-dimensional discrete space;Sadoghi;Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data,2011

3. Efficient filtering in publish-subscribe systems using binary decision diagrams;Campailla;Proceedings of the Twenty Third International Conference on Software Engineering,2001

4. A unified approach to routing, covering and merging in publish/subscribe system based on modified binary decision diagrams;Li;Proceedings of the Twenty Fifth IEEE International Conference on Distributed Computing Systems,2005

5. CCD: a distributed publish/subscribe framework for rich content formats;Jafarpour;IEEE T. Parall. Distr.,2012

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