Details
| Original language | English |
|---|---|
| Pages (from-to) | 105-112 |
| Number of pages | 8 |
| Journal | Semantic web |
| Volume | 6 |
| Issue number | 2 |
| Publication status | Published - 2015 |
| Externally published | Yes |
Keywords
- data transformation, dataspaces, Linked Data, SDMX, statistics
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computer Networks and Communications
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Linked SDMX data: Path to high fidelity statistical linked data. / Capadisli, Sarven; Auer, Sören; Ngonga Ngomo, Axel Cyrille.
In: Semantic web, Vol. 6, No. 2, 2015, p. 105-112.
In: Semantic web, Vol. 6, No. 2, 2015, p. 105-112.
Research output: Contribution to journal › Article › Research › peer review
Capadisli, S, Auer, S & Ngonga Ngomo, AC 2015, 'Linked SDMX data: Path to high fidelity statistical linked data', Semantic web, vol. 6, no. 2, pp. 105-112. https://doi.org/10.3233/SW-130123
Capadisli, S., Auer, S., & Ngonga Ngomo, A. C. (2015). Linked SDMX data: Path to high fidelity statistical linked data. Semantic web, 6(2), 105-112. https://doi.org/10.3233/SW-130123
Capadisli S, Auer S, Ngonga Ngomo AC. Linked SDMX data: Path to high fidelity statistical linked data. Semantic web. 2015;6(2):105-112. doi: 10.3233/SW-130123
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