LDIF - Linked Data Integration Framework
Andreas Schultz, Andrea Matteini, Robert Isele, Christian Bizer, Christian Becker · MADOC (University of Mannheim) · 2011
Abstract. The LDIF- 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.