TY - JOUR
T1 - Designing a Neural Question-Answering System for Times of (Information) Pandemics
AU - Graf, Johannes
AU - Gino, Lancho
AU - Kai, Heinrich
AU - Möller, Frederik
AU - Thorsten, Schoormann
AU - Zschech, Patrick
PY - 2026
Y1 - 2026
N2 - Based on Ingwersen’s cognitive model of information retrieval interaction and natural language processing, this article presents (1) design knowledge in the form of requirements, principles, and features, and (2) an artifact to instantiate the design knowledge into a novel IT artifact for COVID-19 information retrieval. We conducted several evaluation episodes, encompassing technical validations and an experiment, to investigate the artifact’s performance. Our work contributes to managing information and designing artifacts to handle situations of uncertainty.
AB - Based on Ingwersen’s cognitive model of information retrieval interaction and natural language processing, this article presents (1) design knowledge in the form of requirements, principles, and features, and (2) an artifact to instantiate the design knowledge into a novel IT artifact for COVID-19 information retrieval. We conducted several evaluation episodes, encompassing technical validations and an experiment, to investigate the artifact’s performance. Our work contributes to managing information and designing artifacts to handle situations of uncertainty.
KW - Design science research
KW - Information retrieval
KW - Natural language processing
KW - Neural QAS
KW - Question answering
KW - Design science research
KW - Information retrieval
KW - Natural language processing
KW - Neural QAS
KW - Question answering
U2 - 10.1080/10580530.2025.2507175
DO - 10.1080/10580530.2025.2507175
M3 - Journal article
SN - 1058-0530
VL - 43
SP - 1
EP - 21
JO - Information Systems Management
JF - Information Systems Management
IS - 1
ER -