As more and more companies and startups are creating business and social value out of open data, the open data trend-setting governments and local authorities are not sitting idle and are opening up data sets and actively encouraging citizens, developers, and firms to innovate with open data.
The Galleries, Libraries, Archives and Museums (GLAM) sector deals with complex and varied data. Integrating that data, especially across institutions, has always been a challenge. On the other hand, the value of linked data is especially high in this sector, since culture by its very nature is cross-border and interlinked.
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.
Linked Data Solutions for Healthcare breaks down the barriers of information silos and gives an all-round comprehensive view of patients’ and research data. They help organizations enrich unstructured patient data with all the terminology in order to identify entities such as generic and branded drugs, recommended and prescribed dosage, or adverse event reactions. Linked data also makes text mining easier as it eliminates ambiguity with the help of those vocabularies, referred to as ontologies in the semantic technology industry.