Linked Open Data -- Creating Knowledge Out of Interlinked Data

Volume 8661 of the series Lecture Notes in Computer Science pp 70-89

Open Access This content is freely available online to anyone, anywhere at any time.


Interlinking and Knowledge Fusion

  • Volha BrylAffiliated withUniversity of Mannheim Email author 
  • , Christian BizerAffiliated withUniversity of Mannheim
  • , Robert IseleAffiliated withBrox IT-Solutions GmbH
  • , Mateja VerlicAffiliated withZemanta d.o.o
  • , Soon Gill HongAffiliated withKAIST
  • , Sammy JangAffiliated withKAIST
  • , Mun Yong YiAffiliated withKAIST
  • , Key-Sun ChoiAffiliated withKAIST


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.