ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics.
Zhuoxun Zheng|Baifan Zhou|Dongzhuoran Zhou|Ahmet Soylu|Evgeny Kharlamov
| Anthology ID: | DBLP:conf/cikm/ZhengZZSK22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 5064-5068 |
| URL: | https://doi.org/10.1145/3511808.3557195 |
| DOI: | https://doi.org/10.1145/3511808.3557195 |
| DBLP: | conf/cikm/ZhengZZSK22 |
| BibTeX: |
@inproceedings{zheng-2022-exekg,
author = {Zhuoxun Zheng and
Baifan Zhou and
Dongzhuoran Zhou and
Ahmet Soylu and
Evgeny Kharlamov},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {5064--5068},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557195},
doi = {https://doi.org/10.1145/3511808.3557195}
}