Browsing DBpedia entities with summaries

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 LinkedData. In its current implementation, the system focuses on DBpedia with the summaries being based on the PageRank scores of the involved entities.