Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32583
Proposition of an Ontology of Diseases and Their Signs from Medical Ontologies Integration

Authors: Adama Sow, Abdoulaye Guiss´e, Oumar Niang


To assist medical diagnosis, we propose a federation of several existing and open medical ontologies and terminologies. The goal is to merge the strengths of all these resources to provide clinicians the access to a variety of shared knowledges that can facilitate identification and association of human diseases and all of their available characteristic signs such as symptoms and clinical signs. This work results to an integration model loaded from target known ontologies of the bioportal platform such as DOID, MESH, and SNOMED for diseases selection, SYMP, and CSSO for all existing signs.

Keywords: Medical decision, medical ontologies, ontologies integration, linked data, knowledge ingeneering, e-health system.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 681


[1] Charlet J, Declerck G., Dhombres F., Gayet P., Miroux P., Vandenbussche P.: Construire une ontologie m´edicale pour la recherche d’information: probl´ematiques terminologiques et de mod´elisation. IC 2012.
[2] Anbarasi M. S., Naveen P., Selvaganapathi S., Mohamed Nowsath Ali I., Ontology Based Medical Diagnosis Decision Support System, In International Journal of Engineering Research and Technology (IJERT), 2013.
[3] Robert Hoehndorf, Michel Dumontier and Georgios V. Gkoutos, Evaluation of research in biomedical ontologies, In Bioinformatics. vol 14. No 6. 696-712, 2012.
[4] Jos´e A., Reye S-Ortiz, Ana L. Jimenez, Jaime Cater, Cesar A. Malend´es, Ontology-based Knowledge Representation for Supporting Medical Decisions, Recherche in Computer Science, 2013.
[5] Mohammed, Osama and Benlamri, Rachid and Fong, Simon, Building a Diseases Symptoms Ontology for Medical Diagnosis: An Integrative Approach, D´ecembre 2012, IEEE International Conference on Future Generation Commnication Technology (FGCT 2012).
[6] Hoehndorf, Robert and Schofield, Paul N. and Gkoutos, Georgios V., The role of ontologies in biological and biomedical research: a functional perspective, In Briefings in Bioinformatics Journal, 2015
[7] Alexander P. Cox, Patrick L. Ray, Mark Jensen, Alexander D. Diehl, Defining ’sign’ and ’symptom’, IWOOD 2014 Workshop, In ICBO, Houston, TX, USA, October 6-7, 2014.
[8] Lynn, Schriml and Arze, Cesar and al., Disease Ontology: A backbone for disease semantic integration, Nucleic acids research, 2011.
[9] Whetzel PL, Noy NF, Shah NH, Alexander PR, al., BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications, Nucleic Acids Res. 2011 Jul, 39(Web Server issue):W541-5, Epub 2011 Jun 14.
[10] Salvadores M, Horridge M, Alexander PR, Fergerson RW, Musen MA, and Noy NF, Using SPARQL to Query BioPortal Ontologies and Metadata, International Semantic Web Conference (Boston US) LNCS 7650, pp 180195, 2012.
[11] Cornet, Ronald and De Keize, Nicolette, Forty years of SNOMED: a literature review, In First European Conference on SNOMED CT, 1-3 October 2006, Copenhagen, Denmark.
[12] Smith, Barry and Ashburner, Michael and al., The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration, In Nature Biotechnology, 2007, Volume 25.
[13] Olivier Bodenreider, The Unified Medical Language System (UMLS): integrating biomedical terminology, in Nucleic Acids Research, 2004, Vol. 32.
[14] Karen Patrias and Dan Wendling, Citing Medicine, 2nd edition, In National Library of Medicine, National Institutes of Health Bethesda (MD): National Library of Medicine (US); 2007.