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Personal eHealth Knowledge Spaces though Models, Agents and Semantics

  • Haridimos Kondylakis
  • Dimitris Plexousakis
  • Vedran Hrgovcic
  • Robert Woitsch
  • Marc Premm
  • Michael Schuele
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8823)

Abstract

In this paper, we present a web-based platform that generates a Personal eHealth Knowledge Space as an aggregation of several knowledge sources relevant for the provision of individualized personal services. To this end, novel technologies are exploited and demonstrated, such as knowledge on demand to lower the information overload for the end-users, agent-based communication and reasoning to support cooperation and decision making, and semantic integration to provide uniform access to heterogeneous information. All three technologies are combined to create a novel web-based platform allowing seamless user interaction through a portal that supports personalized, granular and secure access to relevant information. We demonstrate the portal and then the aforementioned technologies using real medical scenarios.

Keywords

Knowledge Source SPARQL Query Semantic Integration Knowledge Space Heterogeneous Data Source 
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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References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Haridimos Kondylakis
    • 1
  • Dimitris Plexousakis
    • 1
  • Vedran Hrgovcic
    • 2
  • Robert Woitsch
    • 2
  • Marc Premm
    • 3
  • Michael Schuele
    • 3
  1. 1.Institute of Computer Science, FORTHHeraklionGreece
  2. 2.BOC Asset Management GmbHViennaAustria
  3. 3.Information Systems 2 (530 D)Universität HohenheimStuttgartGermany

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