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Data harvesting, curation and fusion model to support public service recommendations for e-governments

(2018) p.1-8
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Citation

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

MLA
Sedrakyan, Gayane et al. “Data Harvesting, Curation and Fusion Model to Support Public Service Recommendations for E-governments.” 2018. 1–8. Print.
APA
Sedrakyan, G., De Vocht, L., Alonso, J., Escalante, M., Orue-Echevarria, L., & Mannens, E. (2018). Data harvesting, curation and fusion model to support public service recommendations for e-governments (pp. 1–8). Presented at the Modelsward 2018, the 6th International Conference on Model-driven Engineering and Software Development.
Chicago author-date
Sedrakyan, Gayane, Laurens De Vocht, J. Alonso, M. Escalante, L. Orue-Echevarria, and Erik Mannens. 2018. “Data Harvesting, Curation and Fusion Model to Support Public Service Recommendations for E-governments.” In , 1–8.
Chicago author-date (all authors)
Sedrakyan, Gayane, Laurens De Vocht, J. Alonso, M. Escalante, L. Orue-Echevarria, and Erik Mannens. 2018. “Data Harvesting, Curation and Fusion Model to Support Public Service Recommendations for E-governments.” In , 1–8.
Vancouver
1.
Sedrakyan G, De Vocht L, Alonso J, Escalante M, Orue-Echevarria L, Mannens E. Data harvesting, curation and fusion model to support public service recommendations for e-governments. 2018. p. 1–8.
IEEE
[1]
G. Sedrakyan, L. De Vocht, J. Alonso, M. Escalante, L. Orue-Echevarria, and E. Mannens, “Data harvesting, curation and fusion model to support public service recommendations for e-governments,” presented at the Modelsward 2018, the 6th International Conference on Model-driven Engineering and Software Development, Madeira, Portugal, 2018, pp. 1–8.
@inproceedings{8546259,
  author       = {Sedrakyan, Gayane and De Vocht, Laurens and Alonso, J. and Escalante, M. and Orue-Echevarria, L. and Mannens, Erik},
  isbn         = {9789897582837},
  language     = {eng},
  location     = {Madeira, Portugal},
  pages        = {1--8},
  title        = {Data harvesting, curation and fusion model to support public service recommendations for e-governments},
  year         = {2018},
}