ProLD: Propagate Linked Data

  • Peter Kalchgruber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7059)

Abstract

Since the Web of Data consists of different data sources maintained by different authorities the up-to-dateness of the resources varies a lot. However a number of applications are built upon that. To tackle the problem of out-dated resources, we propose to develop a framework that utilizes the linkage between Linked Data nodes to propagate updates in the cloud. For that purpose we have observed propagation strategies developed in the database domain and have created a list of currently unsolved problems which emphasize the difference between the propagation in the Web of Data and state of the art approaches. Apart from the improvement of the up-to-dateness of data, by following the approach of propagation the network improves and inconsistencies will be reduced.

Keywords

Link Data Local Resource Data Node Link Open Data Integrity Check 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Peter Kalchgruber
    • 1
  1. 1.Faculty of Computer ScienceUniversity of ViennaViennaAustria

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