Authors:
Miguel A. Prados de Reyes
1
;
M. Carmen Peña Yañez
2
;
M. Amparo Vila Miranda
1
and
M. Belen Prados Suarez
3
Affiliations:
1
University of Granada, Spain
;
2
San Cecilio Hospital, Spain
;
3
University of Jaen, Spain
Keyword(s):
Information Retrieval System, Semantic Information, Semantic Organization, Ontology, Electronic Healthcare Record.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
This paper analyzes the terminology used in the diagnosis, treatment, exploration, and operation descriptions entered by doctors in the electronic healthcare record. From this, expression stability (and the use of a sufficiently limited and controlled language) is shown, which is therefore reasonably valid for a conceptualization process to be employed on it. This conceptualization process is performed by the generation of an ontology which proposes semantic classes according to the different medical concepts to be used on data-base query profiles. By way of summary, we shall propose a semantic organizational method so that classes, attributes and properties in the ontology may act as links between the database and the users, both in information incorporation processes and in queries. It offers a wide range of benefits by extending and making information management possibilities more flexible, and enabling the application of traditional data mining techniques.