Authors:
Harold Vasquez
1
;
Ana Aguilera
1
and
Leonid Tineo
2
Affiliations:
1
FACYT, Universidad de Carabobo, Venezuela
;
2
Universidad Simón Bolívar, Venezuela
Keyword(s):
Ontology, Medical Data Base, Orthopedic, SQLf.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
At present time, Ontology is a powerful Knowledge Representation tool for Web Information Retrieval and Mining. In particular, lots of medical applications in the field of diagnosis and tele-health would take advantage of information sharing and publication on the Web with the use of Ontology. We are especially interested in the field of orthopedic pathologies of human march. There are several laboratories in the world working in this topic but they are not exploiting potential of the Web in theirs works, they are almost isolate in information management. We have already carried out mining in database from the Venezuelan Hospital Ortopédico Infantil, nevertheless, it is necessary to build an ontology in order to query and mine information from different laboratories in the world. We would like in the near future to apply fuzzy logic techniques and fuzzy querying over such information. In this paper, we present the building of an orthopedic medical ontology, to the best of our knowled
ge, has not been reported other in this specific field that we are interested on.
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