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LA Referencia community aims to provide more and better services to users. One of the key problems is identifying relationships and linking metadata from different sources. This presentation briefly describes the last results of a collaborative effort of different Latin American institutions for building a common software platform capable of process metadata from different heterogeneous sources. The case study for this initial phase is the linkage of the Brazilian Digital Library of Thesis and Dissertations (BDTD) and the Lattes CV platform, applying an improved trigram based strategy. The preliminary results show a promising path to follow towards reaching a production-grade implementation for all LA Referencia community.
String similarity, Linking data, Harvesting, Metadata enrichment, BDTD, CRIS systems, LA Referencia software, Lattes Platform
String similarity, Linking data, Harvesting, Metadata enrichment, BDTD, CRIS systems, LA Referencia software, Lattes Platform
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