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Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Legaz-García, Mdel C; Martínez-Costa, C; Miñarro-Giménez, JA; Fernández-Breis, JT; Schulz, S; Menárguez-Tortosa, M.
Ontology patterns-based transformation of clinical information.
Stud Health Technol Inform. 2014; 205(12):1018-1022
PubMed
- Co-authors Med Uni Graz
- MARTINEZ COSTA Catalina
- Minarro-Gimenez Jose Antonio
- Schulz Stefan
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- 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Artificial Intelligence -
- Biological Ontologies -
- Information Storage and Retrieval - methods
- Medical Informatics - methods
- Medication Systems, Hospital - organization & administration
- Natural Language Processing -
- Pattern Recognition, Automated - methods
- Semantics -