3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2015
Exploring semantically-related concepts from Wikipedia: the case of SeRE
Daniel Hienert, Dennis Wegener, Siegfried Schomisch
In this paper we present our web application SeRE designed to explore semantically related concepts. Wikipedia and DBpedia are rich data sources to extract related entities for a g…
cs.HC2015★ 3 cited
Making sense of Open Data Statistics with Information from Wikipedia
Daniel Hienert, Dennis Wegener, Siegfried Schomisch
Today, more and more open data statistics are published by governments, statistical offices and organizations like the United Nations, The World Bank or Eurostat. This data is free…
cs.IR2012
Extraction of Historical Events from Wikipedia
Daniel Hienert, Francesco Luciano
The DBpedia project extracts structured information from Wikipedia and makes it available on the web. Information is gathered mainly with the help of infoboxes that contain structu…