A Case Study of a Semantically Enhanced Public Health Digital Collection

Autor:	Amy J. Barton, Elaine N. Skopelja, Salman Javed, Brian E. Dixon
Rok vydání:	2013
Předmět:	medicine.medical_specialty Information retrieval Computer science Public health Digital content Medical library Linked data Library and Information Sciences Digital library World Wide Web Metadata medicine Graph (abstract data type) Semantic Web
Zdroj:	Journal of Library Metadata. 13:367-380
ISSN:	1937-5034 1938-6389
DOI:	10.1080/19386389.2013.849908
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4d6831c3613d3e55e83422caeeb4de06 https://doi.org/10.1080/19386389.2013.849908 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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