Presented at: 10th International Semantic Web Conference (ISWC2011)
by Andreas Schultz, Andrea Matteini, Robert Isele, Christian Bizer, Christian Becker
The Linked Data Integration Framework can be used within Linked Data applications to translate heterogeneous data from the Web of Linked Data into a clean local target representation while keeping track of data provenance. LDIF provides an expressive mapping language for translating data from the various vocabularies that are used on the Web into a consistent, local target vocabulary. LDIF includes an identity resolution component which discovers URI aliases in the input data and replaces them with a single target URI based on user-provided matching heuristics. For provenance tracking, the LDIF framework employs the Named Graphs data model. This paper describes the architecture of the LDIF framework and presents a performance evaluation of a life science use case.
LDIF - Linked Data Integration Framework was presented at this event.
Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2011/paper/poster-demo/49
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