Linked Open Data: Is it failing or just getting out of the blocks?

In this panel discussion we bring together leaders in the Open Data and Linked Open Data (LOD) spaces to debate whether the current approaches to publishing Linked Open Data are working, what the major challenges are for adoption and what the future looks like.


Whilst the Linked Open Data cloud continues to grow year on year whether Linked Open Data (LOD) adoption is failing or succeeding continues to be a great source of debate. Whilst certain industries and domains such as Lifesciences publish a wide range of ontologies and Linked Open Datasets others, such as Financial Services, are woefully underrepresented. Indeed even in areas with significant sponsorship such less than 0.5% of datasources meet the elusive 5 star LOD standard.


However there are also numerous success stories within this landscape. Projects such as the Panama Papers resulted in terms such as ‘graph’ entering mainstream media and reaching a wider data audience. Initiatives such as Dbpedia also regularly achieve over 200m hits per month and Wikidata has over 17k active users – impressive for a relatively new project.


In this panel discussion we debate the reasons that inhibit adoption of Linked Open Data, how these are being tackled and what the future looks like. Perhaps a perceived lack of intuitive and accessible LOD infrastructure is inhibiting adoption? Perhaps there are too many commercial disincentives for private sector organisations to make their data more widely available? Or perhaps the benefits of turning Open Data into Linked Open Data are just not well articulated by practitioners? These and many other questions will be put to our expert panelists at Connected Data 2017’s Linked Open Data panel.



The semantic web stack is one approach to publishing open data and metadata together

“Linking Open Data cloud diagram 2017, by Andrejs Abele, John P. McCrae, Paul Buitelaar, Anja Jentzsch and Richard Cyganiak.”