Crowdsourced Linked Data Question Answering with AQUACOLD

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 syst...

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Bibliographic Details

Published in:	2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) pp. 297 - 298
Main Authors:	Collis, Nicholas, Frommholz, Ingo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2021
Subjects:	Complexity theory Crowdsourcing Knowledge discovery Libraries Linked data Natural Language Natural languages Question Answering SPARQL
Online Access:	Get full text
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