The author argues that simple algorithms for automatically mapping relational data to RDF are wasteful and inefficient. Instead, mapping can be significantly improved by using a schema design tailored to RDF, and the smaller graph that results will promote powerful query mechanisms like faceted search. The research reported builds a substantial RDF graph from a real data archive in the cultural heritage domain. Proposed is a generic RDB2RDF mapping for such
data, based on the simple “People, Places, Things and Events” approach
frequently used in heritage data management.

Keywords: Relational Model, RDB2RDF, HTTP URIs, Cultural Heritage, RDBMS
Author: Byrne, Kate
Time required: P30M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

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