title: Information integration from heterogeneous data sources: a Semantic Web approach.
abstract: Although the decentralized and autonomous implementation of health information systems has made it possible to extend the reach of surveillance systems to a variety of contextually disparate domains, public health use of data from these systems is not primarily anticipated. The Semantic Web has been proposed to address both representational and semantic heterogeneity in distributed and collaborative environments. We introduce a semantic approach for the integration of health data using the Resource Definition Framework (RDF) and the Simple Knowledge Organization System (SKOS) developed by the Semantic Web community.
authors.affiliation: Center for Biosecurity and Public Health Informatics Research, Houston, TX, USA.
authors.forename: Narendra
authors.initials: N
authors.lastname: Kunapareddy
authors.forename: Parsa
authors.initials: P
authors.lastname: Mirhaji
authors.forename: David
authors.initials: D
authors.lastname: Richards
authors.forename: S Ward
authors.initials: SW
authors.lastname: Casscells
mesh_terms: D019992:Databases as Topic; D016247:Information Storage and Retrieval; D020407:Internet; D011381:Programming Languages; D012660:Semantics; D018511:Systems Integration