Neural Tensor Network Training Using Meta-Heuristic Algorithms for RDF Knowledge Bases Completion-Reference-Cited by-同舟云学术

Neural Tensor Network Training Using Meta-Heuristic Algorithms for RDF Knowledge Bases Completion

Published:2019-04-16 Issue:7 Volume:33 Page:656-667
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Abedini Farhad¹,Keyvanpour Mohammad Reza²,Menhaj Mohammad Bagher³^ORCID

Affiliation:

1. Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

2. Department of Computer Engineering, Alzahra University, Vanak, Iran

3. Center of Excellence in Control and Robotics, Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2019.1602317

Reference18 articles.

1. An MLP-based representation of neural tensor networks for the RDF data models

2. DBpedia - A crystallization point for the Web of Data

3. Bordes, A., X. Glorot, J. Weston, and Y. Bengio. 2012. Joint learning of words and meaning representations for open-text semantic parsing. In Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, p. 127-135.

4. Bordes, A., J. Weston, R. Collobert, and Y. Bengio. 2011. Learning structured embeddings of knowledge bases. In Proceedings of the Twenty-Fifth AAAI Conference on Artifitial Intelligence. AAAI Press: San Francisco, California. p. 301-306.

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