The publication of data as Linked Open Data (LOD) gains traction. There are lots of different datasets published, more vocabularies are becoming W3C Recommendations and with the introduction of DCAT-AP v1.1 and the emergence of the European data portal and a multitude of national open data portals, lots of datasets are discoverable and accessible using their DCAT-AP metadata in RDF. Yet, the consumption of LOD is lacking in comfort and availability of tools that would exploit the benefits of LOD and allow users to discover, access, integrate and reuse LOD easily, as promised by the promoters of LOD and supposedly paid by the additional effort put into the 5-star data publication by the publishers. Compared to the consumption of 3-star CSV and XML files, the consumption of LOD is still quite complicated and the LOD benefits are not exploited enough nor visible enough to justify the effort for many publishers. The purpose of this thesis is to contribute to the future Linked Data Consumption platform by selecting several requirements identified in [1] and elaborate them in a form of research papers and experimental software implementation.
Seznam odborné literatury
[1] Jakub Klímek, Petr Škoda, Martin Nečaský. Requirements on Linked Data Consumption Platform. LDOW 2016 at WWW 2016. [Requirements on Linked Data Consumption Platform ( Jakub Klímek , Petr Škoda , Martin Nečaský]
- zadáno a potvrzeno stud. odd.