@inproceedings{f79fbae29e6d42af878b30a46b128297,
title = "Crowdsourced linked data question answering with AQUACOLD",
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.",
keywords = "Linked Data, Crowdsourcing, SPARQL, Question Answering, Natural Language",
author = "Nicholas Collis and Ingo Frommholz",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; ACM/IEEE Joint Conference on Digital Libraries (JCDL) ; Conference date: 27-09-2021 Through 30-09-2021",
year = "2021",
month = dec,
day = "29",
doi = "10.1109/jcdl52503.2021.00043",
language = "English",
series = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "297--298",
editor = "Downie, \{J. Stephen\} and Dana McKay and Hussein Suleman and Nichols, \{David M.\} and Faryaneh Poursardar",
booktitle = "Proceedings - 2021 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2021",
address = "United States",
}