Name
Abstract | ||
|---|---|---|
The generation of a semantic clinical infostructure requires linking ontologies, clinical models and terminologies [1]. Here we describe an approach that would permit data coming from different sources and represented in different standards to be queried in a homogeneous and integrated way. Our assumption is that data providers should be able to agree and share the meaning of the data they want to exchange and to exploit. We will describe how Clinical Element Model (CEM) and OpenEHR datasets can be jointly exploited in Semantic Web environments. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3233/978-1-61499-289-9-1085 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Health Records,Ontologies | Ontology (information science),openEHR,Data mining,Information retrieval,Computer science,Semantic Web,Knowledge management,IDEF5,Rendering (computer graphics),RDF Schema,RDF,Web Ontology Language | Conference |
Volume | ISSN | Citations |
192 | 0926-9630 | 3 |
PageRank | References | Authors |
0.56 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Catalina Martínez-Costa | 1 | 163 | 17.99 |
| Diego Boscá | 2 | 98 | 9.19 |
| María Del Carmen Legaz-García | 3 | 33 | 5.97 |
| Cui Tao | 4 | 269 | 37.21 |
| Jesualdo Tomás Fernández-breis | 5 | 588 | 56.98 |
| Stefan Schulz | 6 | 1092 | 127.03 |
| Christopher G Chute | 7 | 2349 | 282.57 |