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Browsing DBpedia Entities with Summaries

Browsing DBpedia Entities with Summaries

Published: 2014 Oktober
Herausgeber: Valentina Presutti, Eva Blomqvist, Raphael Troncy, Harald Sack, Ioannis Papadakis, Anna Tordai
Buchtitel: The Semantic Web: ESWC 2014 Satellite Events
Reihe: LNCS
Seiten: 511-515
Verlag: Springer
Erscheinungsort: Heidelberg

Referierte Veröffentlichung


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.

ISBN: 978-3-319-11954-0
Download: Media:Thalhammer-eswc2014.pdf
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-319-11955-7_76



Verknüpfte Tools


Verknüpfte Datasets

DBpedia PageRank




Semantische Suche, Data Mining, Entitätszusammenfassung, Semantic Web