Big Data in Large Scale Intelligent Smart City Installations

Authors:
Sylva Girtelschmid;Matthias Steinbauer;Vikash Kumar;Anna Fensel;Gabriele Kotsis
Affiliations:
Institute of Telecooperation, Johannes Kepler University Linz, Austria;Institute of Telecooperation, Johannes Kepler University Linz, Austria;The Telecommunications Research Center Vienna, Vienna, Austria;The Telecommunications Research Center Vienna, Vienna, Austria;Institute of Telecooperation, Johannes Kepler University Linz, Austria
Venue:
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Year:
2013

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Abstract

This paper highlights how the domain of Smart Cities is often modeled by ontologies to create applications and services that are highly flexible, (re)configurable, and inter-operable. However, ontology repositories and their accompanying reasoning and rule languages face the disadvantage of bad runtime behavior, especially if the models grow large in size. We propose an architecture that uses tools and methods from the domain of Big Data processing in conjunction with an ontology repository and a rule engine to overcome potential performance bottlenecks that will occur in this scenario.