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Prometheus Framework for Fuzzy Information Retrieval in Semantic Spaces

  • A. Andrushevich
  • M. Fercu
  • J. Hopf
  • E. Portmann
  • A. Klapproth
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 98)

Abstract

This paper introduces a novel vision for further enhanced Internet of Things services. Based on a variety of data (such as location data, ontology-backed search queries, in- and outdoor conditions) the Prometheus framework is intended to support users with helpful recommendations and information preceding a search for context-aware data. Adapted from artificial intelligence concepts, Prometheus proposes user-readjusted answers on umpteen conditions. A number of potential Prometheus framework applications are illustrated. Added value and possible future studies are discussed in the conclusion.

Keywords

Membership Function Information Retrieval Augmented Reality Fuzzy Cluster Search Query 
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 2012

Authors and Affiliations

  • A. Andrushevich
    • 1
  • M. Fercu
    • 1
  • J. Hopf
    • 1
  • E. Portmann
    • 2
  • A. Klapproth
    • 1
  1. 1.CEESAR – iHomeLabLucerne University of Applied Sciences and ArtsHorwSwitzerland
  2. 2.Information Systems Research GroupUniversity of FribourgFribourgSwitzerland

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