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Dimensional enrichment of statistical linked open data

Autor
Varga, J.; Vaisman, A.; Romero, O.; Etcheverry, L.; Bach, T.; Thomsen, C.
Tipus d'activitat
Article en revista
Revista
Journal of web semantics
Data de publicació
2016-10-01
Volum
40
Pàgina inicial
22
Pàgina final
51
DOI
https://doi.org/10.1016/j.websem.2016.07.003 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/100716 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S1570826816300348 Obrir en finestra nova
Resum
On-Line Analytical Processing (OLAP) is a data analysis technique typically used for local and well-prepared data. However, initiatives like Open Data and Open Government bring new and publicly available data on the web that are to be analyzed in the same way. The use of semantic web technologies for this context is especially encouraged by the Linked Data initiative. There is already a considerable amount of statistical linked open data sets published using the RDF Data Cube Vocabulary (QB) whi...
Citació
Varga, J., Vaisman, A., Romero, O., Etcheverry, L., Bach, T., Thomsen, C. Dimensional enrichment of statistical linked open data. "Journal of web semantics", 1 Octubre 2016, vol. 40, p. 22-51.
Paraules clau
Linked open data, Multidimensional data modeling, OLAP, Semantic web
Grup de recerca
IMP - Information Modeling and Processing

Participants

  • Varga, Jovan  (autor)
  • Vaisman, Alejandro  (autor)
  • Romero Moral, Oscar  (autor)
  • Etcheverry, Lorena  (autor)
  • Bach Pedersen, Torben  (autor)
  • Thomsen, Christian  (autor)