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State-of-the-Art Instance Matching Methods for Knowledge Graphs?

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 01 Jan 2021Publisher:ZenodoFunded by:EC | ARTICONF, EC | Blue Cloud, EC | ENVRI-FAIR

Authors: Boyko, Alex; Farshidi, Siamak; Zhao, Zhiming;

doi: 10.5281/zenodo.5872551 , 10.5281/zenodo.6547683 , 10.5281/zenodo.6547684 , 10.5281/zenodo.5872552

State-of-the-Art Instance Matching Methods for Knowledge Graphs?

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Abstract

Instance matching has attracted a wide range of research attentions. A systematic literature review captures knowledge regarding the state-of-the-art systematically, to analyze and report it in the form of reusable knowledge. It is dicult to compare the performance of dierent instance matching methods, even when the same benchmarking dataset is used.

Related Organizations

Vrije Universiteit Amsterdam
Netherlands
University of Amsterdam
Netherlands
University of Amsterdam
Netherlands
UNIVERSITEIT VAN AMSTERDAM
Netherlands
Vrije Universiteit Amsterdam
Netherlands

Keywords

instance matching, entity alignment, active learning, privacy-preserving algorithms, IT asset linking, asset discovery

1 Research products, page 1 of 1

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