Name
Abstract | ||
|---|---|---|
The semantic interoperability of clinical information requires methods able to transform heterogeneous data sources from both technological and structural perspectives, into representations that facilitate the sharing of meaning. The SemanticHealthNet (SHN) project proposes using semantic content patterns for representing clinical information based on a model of meaning, preventing users from a deep knowledge on ontology and description logics formalism. In this work we propose a flexible transformation method that uses semantic content patterns to guide the mapping between the source data and a target domain ontology. As use case we show how one of the semantic content patterns proposed in SHN can be used to transform heterogeneous data about medication administration. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.3233/978-1-61499-432-9-1018 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Ontology,Ontology patterns,semantic interoperability | Ontology (information science),Data mining,Ontology,Ontology alignment,Ontology-based data integration,Information retrieval,Process ontology,Description logic,Semantic interoperability,Medicine,Semantics | Conference |
Volume | ISSN | Citations |
205 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| María Del Carmen Legaz-García | 1 | 33 | 5.97 |
| Catalina Martínez-Costa | 2 | 163 | 17.99 |
| José Antonio Miñarro-Giménez | 3 | 60 | 12.59 |
| Jesualdo Tomás Fernández-breis | 4 | 588 | 56.98 |
| Stefan Schulz | 5 | 1092 | 127.03 |
| Marcos Menárguez Tortosa | 6 | 153 | 13.02 |