• DocumentCode
    256417
  • Title

    Building OWL ontology for obesity related cancer

  • Author

    Elhefny, M.A. ; Elmogy, M. ; Elfetouh, A.A.

  • Author_Institution
    Inf. Syst. Dept., Mansoura Univ., Mansoura, Egypt
  • fYear
    2014
  • fDate
    22-23 Dec. 2014
  • Firstpage
    177
  • Lastpage
    183
  • Abstract
    Cancer is a term used for a disease in which abnormal cells divide without control and are able to invade other tissues. Obesity is an overnutrition disease that is associated with increased risks of many types of cancers. The knowledge of this medical domain is highly required to be represented with its concepts, properties and types of association using ontologies to provide the biomedical community with consistent, reusable and sustainable descriptions of human obesity related cancer terms. In this paper, we propose building Obesity Related Cancer (ORC) Ontology involving diseases, symptoms, diagnosis, and treatment, using the latest standard Web Ontology language (OWL 2). The diseases hierarchy and terms are defined upon the standard Disease Ontology (DO). By developing (ORC) Ontology, both intelligent systems and physicians can benefit from it in knowledge sharing, reasoning and reusing in different ways.
  • Keywords
    cancer; knowledge representation languages; medical computing; ontologies (artificial intelligence); ORC ontology; OWL 2; Web ontology language; abnormal cell; biomedical community; building OWL ontology; disease ontology; human obesity related cancer; intelligent system; knowledge sharing; overnutrition disease; reusable description; sustainable description; Cancer; Diseases; Medical diagnostic imaging; OWL; Ontologies; Robustness; Surgery; Cancer; Disease Ontology; Knowledge Representation; Obesity; Web Ontology Language (OWL );
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems (ICCES), 2014 9th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4799-6593-9
  • Type

    conf

  • DOI
    10.1109/ICCES.2014.7030953
  • Filename
    7030953