Interlinking and Knowledge Fusion


Bryl, Volha ; Bizer, Christian ; Isele, Robert ; Verlic, Mateja ; Hong, Soon Gill ; Jang, Sammy ; Yi, Mun Yong ; Choi, Key-Sun



DOI: https://doi.org/10.1007/978-3-319-09846-3_4
Additional URL: http://link.springer.com/book/10.1007/978-3-319-09...
Document Type: Book chapter
Year of publication: 2014
Book title: Linked Open Data - Creating Knowledge Out of Interlinked Data : Results of the LOD2 Project
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 8661
Page range: 70-89
Publisher: Auer, Sören
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-319-09845-6 , 978-3-319-09846-3
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-)
Subject: 004 Computer science, internet
Keywords (English): Linked Data , Data Integration , Identity Resolution , Data Fusion
Abstract: 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.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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