YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.
Fabian M. Suchanek|Mehwish Alam|Thomas Bonald|Lihu Chen|Pierre-Henri Paris|Jules Soria
| Anthology ID: | DBLP:conf/sigir/SuchanekABCPS24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 131-140 |
| URL: | https://doi.org/10.1145/3626772.3657876 |
| DOI: | https://doi.org/10.1145/3626772.3657876 |
| DBLP: | conf/sigir/SuchanekABCPS24 |
| BibTeX: |
@inproceedings{suchanek-2024-yago,
author = {Fabian M. Suchanek and
Mehwish Alam and
Thomas Bonald and
Lihu Chen and
Pierre-Henri Paris and
Jules Soria},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {131--140},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657876},
doi = {https://doi.org/10.1145/3626772.3657876}
}