Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks.

Nikita Gautam|David Shumway|Megan Kowalcyk|Sarthak Khanal|Doina Caragea|Cornelia Caragea|Hande McGinty|Samuel Dorevitch


Anthology ID:DBLP:conf/www/GautamSKKCCMD23
Volume: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:4161-4171
URL:https://doi.org/10.1145/3543507.3584185
DOI:https://doi.org/10.1145/3543507.3584185
DBLP:conf/www/GautamSKKCCMD23
BibTeX:
@inproceedings{gautam-2023-leveraging, author = {Nikita Gautam and David Shumway and Megan Kowalcyk and Sarthak Khanal and Doina Caragea and Cornelia Caragea and Hande McGinty and Samuel Dorevitch}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks}}, booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {4161--4171}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543507.3584185}, doi = {https://doi.org/10.1145/3543507.3584185} }