Abstract
There is a need for Question Answering (QA) to return accurate answers to complex natural language questions over Linked Data, improving the accessibility of Linked Data (LD) search by abstracting the complexity of SPARQL whilst retaining its expressiveness. This work presents AQUACOLD, a LD QA system which harnesses the power of crowdsourcing to meet this need.Citation
Collis N, Frommholz I (2021) 'Crowdsourced linked data question answering with AQUACOLD', ACM/IEEE Joint Conference on Digital Libraries (JCDL) - Champaign, IL, IEEE.Publisher
IEEEAdditional Links
https://ieeexplore.ieee.org/document/9651734Type
Conference papers, meetings and proceedingsLanguage
enISSN
2575-7865EISSN
2575-8152ae974a485f413a2113503eed53cd6c53
10.1109/JCDL52503.2021.00043