Representing dataset quality metadata using multi-dimensional views

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

External Research Organisations

  • University of Bonn
  • Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)
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Details

Original languageEnglish
Title of host publicationSEM '14
Subtitle of host publicationProceedings of the 10th International Conference on Semantic Systems
Place of PublicationNew York
Pages92-99
Number of pages8
Publication statusPublished - 4 Sept 2014
Externally publishedYes
Event10th International Conference on Semantic Systems, SEMANTiCS 2014 - Leipzig, Germany
Duration: 4 Sept 20145 Sept 2014

ASJC Scopus subject areas

Cite this

Representing dataset quality metadata using multi-dimensional views. / Debattista, Jeremy; Lange, Christoph; Auer, Sören.
SEM '14: Proceedings of the 10th International Conference on Semantic Systems. New York, 2014. p. 92-99.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Debattista, J, Lange, C & Auer, S 2014, Representing dataset quality metadata using multi-dimensional views. in SEM '14: Proceedings of the 10th International Conference on Semantic Systems. New York, pp. 92-99, 10th International Conference on Semantic Systems, SEMANTiCS 2014, Leipzig, Germany, 4 Sept 2014. https://doi.org/10.1145/2660517.2660525
Debattista, J., Lange, C., & Auer, S. (2014). Representing dataset quality metadata using multi-dimensional views. In SEM '14: Proceedings of the 10th International Conference on Semantic Systems (pp. 92-99). https://doi.org/10.1145/2660517.2660525
Debattista J, Lange C, Auer S. Representing dataset quality metadata using multi-dimensional views. In SEM '14: Proceedings of the 10th International Conference on Semantic Systems. New York. 2014. p. 92-99 doi: 10.1145/2660517.2660525
Debattista, Jeremy ; Lange, Christoph ; Auer, Sören. / Representing dataset quality metadata using multi-dimensional views. SEM '14: Proceedings of the 10th International Conference on Semantic Systems. New York, 2014. pp. 92-99
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