An Efficient Approach to Intelligent Real-time Monitoring Using Ontologies and Hadoop

This paper describes an approach to how ontologies can be used for modeling of real-time monitoring systems that provide both efficiency and intelligence. An ontology-based framework is described that allows for fusion of various data-processing and reasoning techniques. This solution supports the construction of detailed models of data dependencies and their validation. The authors also describe a set of tools that provides auto-mated deployment from the ontology-based model. Deployment is performed using the Hadoop MapReduce implementation to provide efficiency in dealing with a vast amount of data. They explain its possible use for real-time monitoring of an extensive underwater sensor network.