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Authors: David Maria Schmidt 1 ; Svenja Kenneweg 1 ; Julian Eggert 2 ; Jörg Deigmöller 2 and Philipp Cimiano 1

Affiliations: 1 Semantic Computing Group, CITEC, Technical Faculty, Bielefeld University, Bielefeld, Germany ; 2 Honda Research Institute Europe, Offenbach, Germany

Keyword(s): Question Answering over Linked Data, Vague Temporal Adverbials, Compositional Question Answering.

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.

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Paper citation in several formats:
Schmidt, D. M., 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 - KEOD; ISBN 978-989-758-769-6; ISSN 2184-3228, SciTePress, pages 164-174. DOI: 10.5220/0013778400004000

@conference{keod25,
author={David Maria 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 - KEOD},
year={2025},
pages={164-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013778400004000},
isbn={978-989-758-769-6},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD
TI - Question Answering over Linked Data with Vague Temporal Adverbials
SN - 978-989-758-769-6
IS - 2184-3228
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

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