An ontology for quantified self: Capturing the concepts behind the numbers

by | Sep 28, 2016 | Research Publications

Author(s):

  • Cena, Federica
  • Likavec, Silvia
  • Rapp, Amon
  • Marcengo, Alessandro

Abstract:

This paper tackles an important issue of how to use semantic web technologies for Quantified Self (QS). Ontologies offer a great opportunity for data integration and reasoning over data in a QS environment.

Documentation:

https://doi.org/10.1145/2968219.2968329

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