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A Case Study of a Semantically Enhanced Public Health Digital Collection

A historic public health digital collection, developed by the Ruth Lilly Medical Library's Digital Initiatives Group, includes full-text public health bulletin issues; historic photos, drawings, and images; and a vital statistics database. Each content component resides in its own digital space and each has to be separately searched. This paper will discuss the development of a prototype system that integrates and relates digital content within a dispersed collection using Semantic Web technologies. The search result sets are presented as a collection of interrelated content on a scatter graph that spatially indicates the degree of contextual relevancy.