Automatic metadata enrichment in news production
Erik Mannens, Raphaël Troncy, Karel Braeckman, Davy Van Deursen, Wim Van Lancker, Robbie De Sutter, Rik Van de Walle · 2009
News production is characterized by complex and dynamic workflows in which it is important to produce and distribute news items as fast as possible. In this paper, we show how personalized distribution and consumption of news items can be enabled by automatically enriching news metadata with open linked datasets available on the web of data, thus providing a more pleasant experience to fastidious consumers where news content is presented within a broader historical context. Further we present a faceted browser that provides a convenient way for exploring news items based on an ontology of NewsML-G2 and rich semantic metadata.