title: Ontology patterns-based transformation of clinical information.
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.
authors.affiliation: Department of Informatics and Systems, University of Murcia, Spain.
authors.forename: María del Carmen
authors.initials: Mdel C
authors.lastname: Legaz-García
authors.affiliation: Institute of Medical Informatics, Statistics, and Documentation, Medical University of Graz.
authors.forename: Catalina
authors.initials: C
authors.lastname: Martínez-Costa
authors.affiliation: Medical Expert and Knowledge-Based Systems, Medical University of Vienna, Austria.
authors.forename: José Antonio
authors.initials: JA
authors.lastname: Miñarro-Giménez
authors.affiliation: Department of Informatics and Systems, University of Murcia, Spain.
authors.forename: Jesualdo Tomás
authors.initials: JT
authors.lastname: Fernández-Breis
authors.affiliation: Institute of Medical Informatics, Statistics, and Documentation, Medical University of Graz.
authors.forename: Stefan
authors.initials: S
authors.lastname: Schulz
authors.affiliation: Department of Informatics and Systems, University of Murcia, Spain.
authors.forename: Marcos
authors.initials: M
authors.lastname: Menárguez-Tortosa
mesh_terms: D001185:Artificial Intelligence; D064229:Biological Ontologies; D016247:Information Storage and Retrieval / Q000379:methods*; D008490:Medical Informatics / Q000379:methods*; D008510:Medication Systems, Hospital / Q000458:organization & administration*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D012660:Semantics