Automated Information Integration from Heterogeneous Data Sources: A Semantic Web Approach

Integration of information from multiple disparate and heterogeneous sources is a labor and resource intensive task. Heterogeneity can come about in the way data is represented or in the meaning of data in different contexts. Semantic Web technologies have been proposed to address both representational and semantic heterogeneity in distributed and collaborative environments. We introduce an automated semantic information integration platform for public health surveillance using RDF and the Simple Knowledge Organization Standard developed by the Semantic Web community.

OBJECTIVE

This paper proposes the use of Semantic Web technologies to integrate heterogeneous data generated by disparate systems for public health use.