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Dimensional enrichment of statistical linked open data

Author
Varga, J.; Vaisman, A.; Romero, O.; Etcheverry, L.; Bach, T.; Thomsen, C.
Type of activity
Journal article
Journal
Journal of web semantics
Date of publication
2016-10-01
Volume
40
First page
22
Last page
51
DOI
https://doi.org/10.1016/j.websem.2016.07.003 Open in new window
Repository
http://hdl.handle.net/2117/100716 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S1570826816300348 Open in new window
Abstract
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...
Citation
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.
Keywords
Linked open data, Multidimensional data modeling, OLAP, Semantic web
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants

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

Attachments