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Browsing DBpedia Entities with Summaries

  • Andreas Thalhammer
  • Achim Rettinger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

The term “Linked Data” describes online-retrievable formal descriptions of entities and their links to each other. Machines and humans alike can retrieve these descriptions and discover information about links to other entities. However, for human users it becomes difficult to browse descriptions of single entities because, in many cases, they are referenced in more than a thousand statements.

In this demo paper we present summarum, a system that ranks triples and enables entity summaries for improved navigation within Linked Data. In its current implementation, the system focuses on DBpedia with the summaries being based on the PageRank scores of the involved entities.

Keywords

Entity summarization DBpedia Linked data Statement ranking 

Notes

Acknowledgements

The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 611346.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.AIFB, Karlsruhe Institute of TechnologyKarlsruheGermany

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