9 citations · 12 across the 3 of their papers we have counts for
3 papers
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…
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…
Are e-readers suitable tools for scholarly work?
Siegfried Schomisch, Maria Zens, Philipp Mayr
This paper aims to offer insights into the usability, acceptance and limitations of e-readers with regard to the specific requirements of scholarly text work. To fit into the acade…