Question Answering over Linked Data with Vague Temporal Adverbials

David Maria Schmidt, Svenja Kenneweg, Julian Eggert, Jörg Deigmöller, Philipp Cimiano

2025

Abstract

Vague temporal adverbials are common in human communication but most question answering over linked data (QALD) approaches only work with exact time points. We present a QALD system that interprets vague temporal adverbials (e.g., “just”, “recently”) using a factorized probabilistic model. Building on NeoDUDES, an existing QALD approach, we map vague temporal adverbials to time intervals via empirically grounded Gaussian functions and generate SPARQL queries with temporal filters, enabling compositional interpretation of questions involving vagueness. Evaluated on a knowledge graph based on real-world smart home data, our system shows strong performance.

Paper Citation

in Harvard Style

Schmidt D., Kenneweg S., Eggert J., Deigmöller J. and Cimiano P. (2025). Question Answering over Linked Data with Vague Temporal Adverbials. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-769-6, SciTePress, pages 164-174. DOI: 10.5220/0013778400004000

in Bibtex Style

@conference{keod25,
author={David Schmidt and Svenja Kenneweg and Julian Eggert and Jörg Deigmöller and Philipp Cimiano},
title={Question Answering over Linked Data with Vague Temporal Adverbials},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2025},
pages={164-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013778400004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Question Answering over Linked Data with Vague Temporal Adverbials
SN - 978-989-758-769-6
AU - Schmidt D.
AU - Kenneweg S.
AU - Eggert J.
AU - Deigmöller J.
AU - Cimiano P.
PY - 2025
SP - 164
EP - 174
DO - 10.5220/0013778400004000
PB - SciTePress