title: Biomedical data integration - capturing similarities while preserving disparities.
abstract: One of the challenges of healthcare data processing, analysis and warehousing is the integration of data gathered from disparate and diverse data sources. Promoting the adoption of worldwide accepted information standards along with common terminologies and the use of technologies derived from semantic web representation, is a suitable path to achieve that. To that end, the HL7 V3 Reference Information Model (RIM) [1] has been used as the underlying information model coupled with the Web Ontology Language (OWL) [2] as the semantic data integration technology. In this paper we depict a biomedical data integration process and demonstrate how it was used for integrating various data sources, containing clinical, environmental and genomic data, within Hypergenes, a European Commission funded project exploring the Essential Hypertension [3] disease model.
authors: Softeco Sismat S.p.A., Via De Marini 1, WTC Tower, 16149, Genoa, Italy.
authors: Stefano
authors: S
authors: Bianchi
authors: Anna
authors: A
authors: Burla
authors: Costanza
authors: C
authors: Conti
authors: Ariel
authors: A
authors: Farkash
authors: Carmel
authors: C
authors: Kent
authors: Yonatan
authors: Y
authors: Maman
authors: Amnon
authors: A
authors: Shabo
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D016247:Information Storage and Retrieval / Q000379:methods*; D008490:Medical Informatics / Q000379:methods*; D012660:Semantics; D018875:Vocabulary, Controlled