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EcoDaLo: Federating advertisement targeting with Linked Data

Sven Lieber (UGent) , Ben De Meester (UGent) , Ruben Verborgh (UGent) and Anastasia Dimou (UGent)
(2020) p.1-16
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Citation

Please use this url to cite or link to this publication:

MLA
Lieber, Sven, et al. EcoDaLo: Federating Advertisement Targeting with Linked Data. 2020, pp. 1–16.
APA
Lieber, S., De Meester, B., Verborgh, R., & Dimou, A. (2020). EcoDaLo: Federating advertisement targeting with Linked Data (pp. 1–16). Presented at the SEMANTICS2020, the 16th International Conference on Semantic Systems. The Power of AI and Knowledge Graphs, Online.
Chicago author-date
Lieber, Sven, Ben De Meester, Ruben Verborgh, and Anastasia Dimou. 2020. “EcoDaLo: Federating Advertisement Targeting with Linked Data.” In , 1–16.
Chicago author-date (all authors)
Lieber, Sven, Ben De Meester, Ruben Verborgh, and Anastasia Dimou. 2020. “EcoDaLo: Federating Advertisement Targeting with Linked Data.” In , 1–16.
Vancouver
1.
Lieber S, De Meester B, Verborgh R, Dimou A. EcoDaLo: Federating advertisement targeting with Linked Data. In 2020. p. 1–16.
IEEE
[1]
S. Lieber, B. De Meester, R. Verborgh, and A. Dimou, “EcoDaLo: Federating advertisement targeting with Linked Data,” presented at the SEMANTICS2020, the 16th International Conference on Semantic Systems. The Power of AI and Knowledge Graphs, Online, 2020, pp. 1–16.
@inproceedings{8678510,
  author       = {Lieber, Sven and De Meester, Ben and Verborgh, Ruben and Dimou, Anastasia},
  language     = {und},
  location     = {Online},
  pages        = {1--16},
  title        = {EcoDaLo: Federating advertisement targeting with Linked Data},
  year         = {2020},
}