Modelling and Linking Company Data in the euBusinessGraph Platform-Reference-Cited by-同舟云学术

Modelling and Linking Company Data in the euBusinessGraph Platform

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets - DSMM'19
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Author:

Maurino Andrea¹,Rula Anisa¹,von Bjørn Marius²,Gomez Mauricio Soto¹,Elvesæter Brian³,Roman Dumitru³

Affiliation:

1. DISCo, University of Milano-Bicocca, Viale Sarca, Milano, Italy

2. Zernichow SINTEF AS Forskningsveien, Oslo, Norway

3. SINTEF AS Forskningsveien, Oslo, Norway

Publisher

ACM Press

Reference11 articles.

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2. V. Christophides, V. Efthymiou, T. Palpanas, G. Papadakis, and K. Stefanidis. End-to-end entity resolution for big data: A survey. CoRR, abs/1905.06397, 2019.

3. S. Hillner and A.-C. N. Ngomo. Parallelizing limes for large-scale link discovery. In Proceedings of the 7th International Conference on Semantic Systems, I-Semantics '11, pages 9--16, New York, NY, USA, 2011. ACM.

4. M. Nentwig, M. Hartung, A.-C. Ngonga Ngomo, and E. Rahm. A survey of current link discovery frameworks. Semantic Web, (Preprint):1--18, 2015.

5. A. Nikolov, A. Ferrara, and F. Scharffe. Data linking for the semantic web. Int. J. Semant. Web Inf. Syst., 7(3):46--76, July 2011.

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