https://github.com/nakajimaakemi/schemamatcherbi
Schema matching scripts with the assistance of knowledge graphs, created for the "Business Intelligence" course at @Unimore with the assistance of Prof. Domenico Beneventano.
https://github.com/nakajimaakemi/schemamatcherbi
Last synced: 3 months ago
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Schema matching scripts with the assistance of knowledge graphs, created for the "Business Intelligence" course at @Unimore with the assistance of Prof. Domenico Beneventano.
- Host: GitHub
- URL: https://github.com/nakajimaakemi/schemamatcherbi
- Owner: NakajimaAkemi
- Created: 2024-03-03T11:04:40.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-13T11:17:11.000Z (4 months ago)
- Last Synced: 2025-02-13T12:28:02.421Z (4 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 1.43 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.MD
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README
# Schema matching by using background knowledge fetched from BabelNet API.
The schema matching takes a label based aproach with the purpose to find relationships between columns,
analyzing the Synonymity, Hypernymity and Meronymity relationships between words.
The purpose of this repository is to discern the overall impact the aproach in the context of semi-automatic
schema matching.
The colab notebooks are kindly provided by DBgroup from @UNIMORE.
For any support and help, feel free to contact me.