Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks

Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks

Data integration, which aims to solve problems and create new services by combining datasets, has attracted considerable attention. The discovery of similar datasets that can be combined is critical. In the literature on similar dataset discovery, it is important to select an appropriate discovery m...

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Bibliographic Details
Main Authors: Takeshi Sakumoto, Teruaki Hayashi, Hiroki Sakaji, Hirofumi Nonaka
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Dataset discovery
dataset similarity
clustering
data exchange platform
metadata
Online Access:https://ieeexplore.ieee.org/document/10464313/

Internet

https://ieeexplore.ieee.org/document/10464313/

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