The knowledge graph as the default data model for learning on heterogeneous knowledge

Author:

Wilcke Xander12ORCID,Bloem Peter1ORCID,de Boer Victor1ORCID

Affiliation:

1. Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

2. Faculty of Spatial Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

Publisher

IOS Press

Subject

General Medicine

Reference26 articles.

1. COMM: Designing a Well-Founded Multimedia Ontology for the Web

2. A. Bordes, N. Usunier, A. Garcia-Duran, J. Weston and O. Yakhnenko, Translating embeddings for modeling multi-relational data, in: Advances in Neural Information Processing Systems, 2013, pp. 2787–2795, http://dl.acm.org/citation.cfm?id=2999923.

3. B. Boser LeCun, J.S. Denker, D. Henderson, R.E. Howard, W. Hubbard and L.D. Jackel, Handwritten digit recognition with a back-propagation network, in: Advances in Neural Information Processing Systems, Citeseer, 1990, http://dl.acm.org/citation.cfm?id=2969879.

4. Towards Open Data for Linguistics: Linguistic Linked Data

5. R. Davis, H. Shrobe and P. Szolovits, What is a knowledge representation?, AI magazine 14(1) (1993), 17, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.9376.

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