Since 2010 I, Vladimir Alexiev, have been working at Ontotext to further develop the LOD cloud with the help of graph databases. I started working with and developing cultural heritage data interlinks in 2010 and I’m delighted and excited to be part of the DBpedia and Europeana quality committees.
Editorial wants to create faultless content and it is hard for them to imagine that quality coming from anyone else but their team. The dilemma these days is how do you maintain that high-quality in an era of shrinking editorial budgets and ever increasing amounts of data. Early on the BBC decided not to mint their own IDs but to utilise existing URIs for musical artists from a freely available database MusicBrainz. BBC went further and made the strategic decision to also use its resources to help improve the MusicBrainz database.
Sports writers use datasets to investigate the connections between sport, money, business and power. They are also on the quest to seek truth and transparency, and to back their exclusive stories with solid facts. Open data gives those modern-day Sherlocks the bases of their stories. On the other hand, open data from smart cities and governments also helps fans and journalists get information on stadium capacities, routes to venues, and traffic in cities.