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Super Stream Collider: Linked Stream Mashups for Everyone

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
The deployment and provisioning of distributed computing systems with capabilities to support live data processing services will greatly benefit from a cloud-based intelligent middleware platform, which could enable that data services can be deployed over multiple infrastructure providers in order to deliver on-demand access to smart services. This paper introduces a live data mashup platform as solution for integrating data streams, providing design principles for cloud-based intelligent processing. This paper discusses the platform modules, describes stream data operations (linked data) and explains the implementation process. The framework introduced founds on the LSM infrastructure. The framework leverages W3C SSN-XG formal language and the SPARQL database protocol, providing support for enabling intelligent (sensors-collider-data) services. This paper review briefly semantic web technologies enabling the framework, towards emphasizes on-demand establishment of smart cities services based on the automated formulation of ubiquitous intelligence. The service modeling for a particular smart city scenario is introduced and initial implementations and results from performed stream collider simulations studied and discussed.
Conference Name: 
11th International Semantic Web Conference (ISWC 2012) Semantic Web Challenge 2012
Proceedings: 
11th International Semantic Web Conference (ISWC 2012) Semantic Web Challenge 2012
Digital Object Identifer (DOI): 
10.1007/978-3-642-35176-1
Publication Date: 
14/11/2012
Conference Location: 
United States of America
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No