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} }