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
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