• DocumentCode
    2313191
  • Title

    Ontology-based daily menu assistance system

  • Author

    Fudholi, Dhomas Hatta ; Maneerat, Noppadol ; Varakulsiripunth, Ruttikorn

  • Author_Institution
    Fac. of Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok
  • fYear
    2009
  • fDate
    6-9 May 2009
  • Firstpage
    694
  • Lastpage
    697
  • Abstract
    The daily useful nutrition needs become important information to be given to the society. Occurrence of many nutrition cases, such as obesity, overweight or even underweight, shows that the society have not been given an appropriate information about their recommended daily values for key nutrients and also the suggestion of their daily menus. In this paper, we design ontology-based daily menu assistance system using the Indonesian food as a case study. The ontology is a simple methodology to describe the concept of an expert system. We have used it to model a nutrition needs domain in the information of health control system. This methodology is used to advise the appropriate Indonesian food menus to anyone based on their personal data, calories needed, activity factor, and abstinence.
  • Keywords
    health care; medical expert systems; medical information systems; ontologies (artificial intelligence); semantic Web; Indonesian food menu; expert system; health control system; ontology-based daily nutrition menu assistance system; semantic Web technology; Control system synthesis; Diseases; Energy measurement; Equations; Expert systems; Food technology; Medical services; Ontologies; Protection; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
  • Conference_Location
    Pattaya, Chonburi
  • Print_ISBN
    978-1-4244-3387-2
  • Electronic_ISBN
    978-1-4244-3388-9
  • Type

    conf

  • DOI
    10.1109/ECTICON.2009.5137143
  • Filename
    5137143