ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval.
Tengteng Lin|Qiaosheng Chen|Gong Cheng|Ahmet Soylu|Basil Ell|Ruoqi Zhao|Qing Shi|Xiaxia Wang|Yu Gu|Evgeny Kharlamov
| Anthology ID: | DBLP:conf/sigir/LinC0SEZS0GK22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2981-2991 |
| URL: | https://doi.org/10.1145/3477495.3531729 |
| DOI: | https://doi.org/10.1145/3477495.3531729 |
| DBLP: | conf/sigir/LinC0SEZS0GK22 |
| BibTeX: |
@inproceedings{lin-2022-acordar,
author = {Tengteng Lin and
Qiaosheng Chen and
Gong Cheng and
Ahmet Soylu and
Basil Ell and
Ruoqi Zhao and
Qing Shi and
Xiaxia Wang and
Yu Gu and
Evgeny Kharlamov},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2981--2991},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531729},
doi = {https://doi.org/10.1145/3477495.3531729}
}