An ontology-based advice system for health and exercise

Satoru Izumi, Dai Kuriyama, Goichi Itabashi, Atsushi Togashi, Yasushi Kato, Kaoru Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

This paper presents a health advice system using an ontology and inference rules. The ontology consists of the various concepts and their relationships about health and exercise. By combining the ontology and inference rules to derive health advices, recommended and/or nonrecommended exercises are inferred and presented to the users.

Original languageEnglish
Title of host publicationProceedings of the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006
Pages95-100
Number of pages6
Publication statusPublished - 2006
Event8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA2006 - Honolulu, HI, United States
Duration: 2006 Aug 142006 Aug 16

Publication series

NameProceedings of the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006

Other

Other8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA2006
CountryUnited States
CityHonolulu, HI
Period06/8/1406/8/16

Keywords

  • Health
  • Inference
  • OWL
  • Ontology
  • Rule
  • Support system

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Science Applications

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