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di.me: Ontologies for a Pervasive Information System

  • Simon Scerri
  • Ismael Rivera
  • Jeremy Debattista
  • Simon Thiel
  • Keith Cortis
  • Judie Attard
  • Christian Knecht
  • Andreas Schuller
  • Fabian Hermann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

The di.me userware is a pervasive personal information management system that successfully adopted ontologies to provide various intelligent features. Supported by a suitable user interface, di.me provides ontology-driven support for the (i) integration of personal information from multiple personal sources, (ii) privacy-aware sharing of personal data, (iii) context-awareness and personal situation recognition, and (iv) creation of personalised rules that operate over live events to provide notifications, effect system changes or share data.

Keywords

Personal Information Rule Manager Personal Device Personal Source Situation Recognition 
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.

Notes

Acknowledgments

Supported by the European Commission under FP7/2007–2013 (digital.me ICT-257787).

References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Simon Scerri
    • 1
  • Ismael Rivera
    • 1
  • Jeremy Debattista
    • 1
  • Simon Thiel
    • 2
  • Keith Cortis
    • 1
  • Judie Attard
    • 1
  • Christian Knecht
    • 2
  • Andreas Schuller
    • 2
  • Fabian Hermann
    • 2
  1. 1.INSIGHT Centre for Data AnalyticsGalwayIreland
  2. 2.Fraunhofer-Gesellschaft zur Forderung der angewandten Forschung e.V.StuttgartGermany

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