• DocumentCode
    3745798
  • Title

    Deducting Lifestyle Patterns by Ontologies´ SWRL Rules

  • Author

    Mar?a J. ;Ismael Mena;Ivo H. Pineda;M. Concepci?n P?rez de

  • Author_Institution
    Comput. Sci. Dept. Benemerita, Univ. Autonoma de Puebla, Puebla, Mexico
  • fYear
    2015
  • Firstpage
    9
  • Lastpage
    13
  • Abstract
    The volume of biomedical spatial information available on line increases day by day, which need to be exploited and shared by users in different knowledge areas. NCDs kill 36 million people each year and considering the seriousness of the problem globally, there are already underway government strategies to reduce risk factors and early detection and timely treatment. In this article, it´s discussed the problem of the NCDs using Semantic Web tools. The proposed system consists of six ontologies which formalize concepts related to people, physical activity, NCDs, nutrition, geographic regions and symptoms. Furthermore, the system will facilitate the integration of data from different domains by using SWRL rules for decision making about lifestyle transformation.
  • Keywords
    "Ontologies","OWL","Cognition","Diabetes","Diseases","Merging"
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2015 26th International Workshop on
  • ISSN
    1529-4188
  • Print_ISBN
    978-1-4673-7581-8
  • Electronic_ISBN
    2378-3915
  • Type

    conf

  • DOI
    10.1109/DEXA.2015.22
  • Filename
    7406261