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
Link To Document :
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