Identification of Organization Name Variants in Large Databases using Rule-based Scoring and Clustering - With a Case Study on the Web of Science Database-Reference-Cited by-同舟云学术

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Identification of Organization Name Variants in Large Databases using Rule-based Scoring and Clustering - With a Case Study on the Web of Science Database

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th International Conference on Enterprise Information Systems
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Author:

Caron Emiel¹,Daniels Hennie²

Affiliation:

1. Erasmus University Rotterdam, Netherlands

2. Tilburg University and Erasmus University Rotterdam, Netherlands

Publisher

SCITEPRESS - Science and and Technology Publications

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big Open Data Aided Institutions’ Name Normalization and Attribute Enrichment;2022 3rd Information Communication Technologies Conference (ICTC);2022-05-06

2. Entity Resolution in Large Patent Databases: An Optimization Approach;Proceedings of the 23rd International Conference on Enterprise Information Systems;2021

3. An Optimization Method for Entity Resolution in Databases: With a Case Study on the Cleaning of Scientific References in Patent Databases;Proceedings of the 15th International Conference on Software Technologies;2020

4. How to automatically identify major research sponsors selecting keywords from the WoS Funding Agency field;Scientometrics;2018-10-29

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