Interlinking and Knowledge Fusion
Volha Bryl, Christian Bizer, Robert Isele, Mateja Verlič, Soon Gill Hong, Sammy Jang, Mun Yong Yi, Key‐Sun Choi · Lecture notes in computer science · 2014
The central assumption of Linked Data is that data providers ease the integration of Web data by setting RDF links between data sources. In addition to linking entities, Web data integration also requires the alignment of the different vocabularies that are used to describe entities as well as the resolution of data conflicts between data sources. In this chapter, we present the methods and open source tools that have been developed in the LOD2 project for supporting data publishers to set RDF links between data sources. We also introduce the tools that have been developed for translating data between different vocabularies, for assessing the quality of Web data as well as for resolving data conflicts by fusing data from multiple data sources. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.