chai
CHAI: Candidate filtering for KG completion (K-CAP'19, Marina del Rey, USA)
Science Score: 49.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
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○Academic email domains
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○Scientific vocabulary similarity
Low similarity (2.5%) to scientific vocabulary
Repository
CHAI: Candidate filtering for KG completion (K-CAP'19, Marina del Rey, USA)
Basic Info
- Host: GitHub
- Owner: DEAL-US
- License: gpl-3.0
- Language: Python
- Default Branch: master
- Homepage: https://dl.acm.org/doi/10.1145/3360901.3364418
- Size: 149 MB
Statistics
- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
CHAI 
Repository for CHAI, a proposal for filtering candidates in the context of KG completion, as presented in K-CAP'19 (Marina del Rey, Los Angeles, CA).
If you find CHAI useful, please consider citing it as:
bibtex
@inproceedings{DBLP:conf/kcap/BorregoAHR019,
author = {Agust{\'{\i}}n Borrego and Daniel Ayala and Inma Hern{\'{a}}ndez and Carlos R. Rivero and David Ruiz},
title = {Generating Rules to Filter Candidate Triples for their Correctness Checking by Knowledge Graph Completion Techniques},
booktitle = {Proceedings of the 10th International Conference on Knowledge Capture, {K-CAP} 2019, Marina Del Rey, CA, USA, November 19-21, 2019},
pages = {115--122},
year = {2019},
doi = {10.1145/3360901.3364418},
}
Owner
- Name: Data Engineering Applications Lab
- Login: DEAL-US
- Kind: organization
- Location: Seville, Spain
- Website: https://deal.us.es
- Repositories: 5
- Profile: https://github.com/DEAL-US