Rule-based hidden relation recognition for large scale knowledge graphs-Reference-Cited by-同舟云学术

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Rule-based hidden relation recognition for large scale knowledge graphs

Published:2019-07 Issue: Volume:125 Page:13-20
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Luo Jie,Wang Yifei,Jiang Dongchen^ORCID

Funder

National Natural Science Foundation of China

State Key Laboratory of Software Development Environment

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference26 articles.

1. A knowledge based architecture for the virtual restoration of ancient photos;Ardizzone;Pattern Recognit.,2018

2. D. Brickley, R. V. Guha, RDF Schema 1.1, W3C Recommendation 25 February 2014, 2014. https://www.w3.org/TR/rdf-schema/.

3. Mapreduce: Simplified Data Processing on Large Clusters;Dean,2004

4. Distributed representation learning for knowledge graphs with entity descriptions;Fan;Pattern Recognit. Lett.,2017

5. Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark;Gu,2015

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1. DeepCADRME: A deep neural model for complex adverse drug reaction mentions extraction;Pattern Recognition Letters;2021-03

2. Automatic Construction of Subject Knowledge Graph based on Educational Big Data;Proceedings of the 2020 The 3rd International Conference on Big Data and Education;2020-04

3. Special issue on recent advances in statistical, structural and syntactic pattern recognition;Pattern Recognition Letters;2020-03

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