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.
URL: http://homepages.inf.ed.ac.uk/kbyrne3/docs/rdb2rdfForCH.pdf
Keywords: Relational Model, RDB2RDF, HTTP URIs, Cultural Heritage, RDBMS
Author: Byrne, Kate
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive
- Generates RDF data from non-RDF sources.
- Knows methods such as Direct Mapping of Relational Data to RDF (2012) for transforming data from the relational model (keys, values, rows, columns, tables) into RDF graphs.
- Understands trade-offs between "opaque" URIs and URIs using version numbers, server names, dates, application-specific file extensions, query strings or other obsoletable context.