Silk - A Link Discovery Framework for the Web of Data

By Julius Volz, Christian Bizer, Martin Gaedke, Georgi Kobilarov. LDOW, 2009

543 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Linked Data - The Story So Far (2009, unknown): “The Silk framework (Volz et al., 2009) works against local and remote SPARQL [Endnote: http://www.w3.org/TR/rdf-sparql-query/] endpoints and is designed to be employed in distributed environments without having to replicate data sets locally.”
LinkedGeoData: A core for a web of spatial open data (2012, methodology): “The interlinking is performed using the tools SILK [24] and LIMES [17], which use the static SPARQL endpoint as the backend.”
Media Meets Semantic Web - How the BBC Uses DBpedia and Linked Data to Make Connections (2009, methodology): “There are more ID systems and concept stores in use at the BBC, and we want to build a generic equivalency engine based on the methods described above (and similar to link discovery tools being developed in the meantime[13][14]) in order to interlink those remaining systems.”
LinkedGeoData: Adding a Spatial Dimension to the Web of Data (2009, background): “SILK [12] is a framework aiming to overcome this problem, but currently lacks support for spatial matching features.”
Data Matching (2012, methodology): “SILK is a system developed at the Free University of Berlin that allows the discovery of relationships in data within the Linked Data framework [150, 264].”