Processing Ubiquitous Personal Event Streams to Provide User-Controlled Support

  • Jeremy Debattista
  • Simon Scerri
  • Ismael Rivera
  • Siegfried Handschuh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8181)


The increase in use of smart devices nowadays provides us with a lot of personal data and context information. In this paper we describe an approach which allows users to define and register rules based on their personal data activities in an event processor, which continuously listens to perceived context data and triggers any satisfied rules. We describe the Rule Management Ontology (DRMO) as a means to define rules using a standard format, whilst providing a scalable solution in the form of a Rule Network Event Processor which detects and analyses events, triggering rules which are satisfied. Following an evaluation of the network v.s. a simplistic sequential approach, we justify a trade-off between initialisation time and processing time.


Resource Description Framework Smart Device Resource Type SPARQL Query Triple Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jeremy Debattista
    • 1
  • Simon Scerri
    • 1
  • Ismael Rivera
    • 1
  • Siegfried Handschuh
    • 1
  1. 1.Digital Enterprise Research InstituteNational University of IrelandGalwayIreland

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