Continuous Knowledge Graph Refinement With Confidence Propagation

Authors: Huseynli, A., Akcayol, M.A.

Source: IEEE Access Access, IEEE. 11:59226-59237 2023

A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead

Authors: Hur, Ali, Janjua, Naeem, Ahmed, Mohiuddin

Source: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) AIKE Artificial Intelligence and Knowledge Engineering (AIKE), 2021 IEEE Fourth International Conference on. :99-103 Dec, 2021

Relation: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)

Unsupervised and Network-Aware Diagnostics for Latent Issues in Network Information Databases

Authors: Shao, Hua, Chen, Li, Zhao, Youjian

Source: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Computer Communications, IEEE INFOCOM 2020 - IEEE Conference on. :426-435 Jul, 2020

Relation: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata

Authors: Houcemeddine Turki, Dariusz Jemielniak, Mohamed A. Hadj Taieb, Jose E. Labra Gayo, Mohamed Ben Aouicha, Mus’ab Banat, Thomas Shafee, Eric Prud’hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen

Source: PeerJ Computer Science, Vol 8, p e1085 (2022)

Subject Terms: SPARQL, Wikidata, Public health surveillance, Knowledge graph refinement, COVID-19 epidemiology, Validation constraints, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://peerj.com/articles/cs-1085.pdf; https://peerj.com/articles/cs-1085/; https://doaj.org/toc/2376-5992

Access URL: https://doaj.org/article/1a3c6b0932cf4870a7edec94c07c6a09