Visualizing How-Provenance Explanations for SPARQL Queries.
Luis Galárraga|Daniel Hernández|Anas Katim|Katja Hose
| Anthology ID: | DBLP:conf/www/Galarraga0KH23 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 212-216 |
| URL: | https://doi.org/10.1145/3543873.3587350 |
| DOI: | https://doi.org/10.1145/3543873.3587350 |
| DBLP: | conf/www/Galarraga0KH23 |
| BibTeX: |
@inproceedings{galarraga-2023-visualizing,
author = {Luis Gal\'{a}rraga and
Daniel Hern\'{a}ndez and
Anas Katim and
Katja Hose},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Visualizing How-Provenance Explanations for SPARQL Queries}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {212--216},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543873.3587350},
doi = {https://doi.org/10.1145/3543873.3587350}
}