Standard
A Structure and Content Prompt-based Method for Knowledge Graph Question Answering over Scholarly Data. / Jiang, Longquan; Yan, Xi
; Usbeck, Ricardo.
Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023 : Athens, Greece, November 6-10, 2023. ed. / Debayan Banerjee; Ricardo Usbeck; Nandana Mihindukulasooriya; Mohamad Yaser Jaradeh; Sören Auer; Gunjan Singh; Raghava Mutharaju; Pavan Kapanipathi. Vol. 3592 Aachen: Rheinisch-Westfälische Technische Hochschule Aachen, 2023. 3 (CEUR Workshop Proceedings; Vol. 3592).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
Jiang, L, Yan, X
& Usbeck, R 2023,
A Structure and Content Prompt-based Method for Knowledge Graph Question Answering over Scholarly Data. in D Banerjee, R Usbeck, N Mihindukulasooriya, MY Jaradeh, S Auer, G Singh, R Mutharaju & P Kapanipathi (eds),
Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023 : Athens, Greece, November 6-10, 2023. vol. 3592, 3, CEUR Workshop Proceedings, vol. 3592, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Scholarly QALD 2023, Athen, Greece,
06.11.23. <
https://ceur-ws.org/Vol-3592/paper3.pdf>
APA
Jiang, L., Yan, X.
, & Usbeck, R. (2023).
A Structure and Content Prompt-based Method for Knowledge Graph Question Answering over Scholarly Data. In D. Banerjee, R. Usbeck, N. Mihindukulasooriya, M. Y. Jaradeh, S. Auer, G. Singh, R. Mutharaju, & P. Kapanipathi (Eds.),
Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023 : Athens, Greece, November 6-10, 2023 (Vol. 3592). Article 3 (CEUR Workshop Proceedings; Vol. 3592). Rheinisch-Westfälische Technische Hochschule Aachen.
https://ceur-ws.org/Vol-3592/paper3.pdfVancouver
Jiang L, Yan X
, Usbeck R.
A Structure and Content Prompt-based Method for Knowledge Graph Question Answering over Scholarly Data. In Banerjee D, Usbeck R, Mihindukulasooriya N, Jaradeh MY, Auer S, Singh G, Mutharaju R, Kapanipathi P, editors, Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023 : Athens, Greece, November 6-10, 2023. Vol. 3592. Aachen: Rheinisch-Westfälische Technische Hochschule Aachen. 2023. 3. (CEUR Workshop Proceedings).
Bibtex
@inbook{b31df50ac1f34519ac5a590c8d42d653,
title = "A Structure and Content Prompt-based Method for Knowledge Graph Question Answering over Scholarly Data",
abstract = "Answering scholarly questions is challenging without the help of query-based systems. Thus, we develop a divide-and-conquer approach based on a Large Language Model (LLM) for scholarly Knowledge Graph (KG) Question Answering (QA). Our system integrates the KG ontology into the LLM prompts and leverages a hybrid prompt learning strategy with both query structure and content. Our experiments suggest that given an ontology of a specific KG, LLMs are capable of automatically choosing the corresponding classes or predicates required to generate a target SPARQL query from a natural language question. Our approach shows state-of-the-art results over one scholarly KGQA dataset, namely sciQA [1].",
keywords = "Informatics, Question Answering, KGQA, Scholarly KGQA, Large Language Model",
author = "Longquan Jiang and Xi Yan and Ricardo Usbeck",
note = "Funding Information: This work has been partially supported by grants for the DFG project NFDI4DataScience project (DFG project no. 460234259) and by the Federal Ministry for Economics and Climate Action in the project CoyPu (project number 01MK21007G). Publisher Copyright: {\textcopyright} 2023 CEUR-WS. All rights reserved.; Scholarly QALD 2023 ; Conference date: 06-11-2023 Through 10-11-2023",
year = "2023",
month = dec,
day = "14",
language = "English",
volume = "3592",
series = "CEUR Workshop Proceedings",
publisher = "Rheinisch-Westf{\"a}lische Technische Hochschule Aachen",
editor = "Debayan Banerjee and Ricardo Usbeck and Nandana Mihindukulasooriya and Jaradeh, {Mohamad Yaser} and S{\"o}ren Auer and Gunjan Singh and Raghava Mutharaju and Pavan Kapanipathi",
booktitle = "Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023",
address = "Germany",
url = "https://ceur-ws.org/Vol-3592/",
}
RIS
TY - CHAP
T1 - A Structure and Content Prompt-based Method for Knowledge Graph Question Answering over Scholarly Data
AU - Jiang, Longquan
AU - Yan, Xi
AU - Usbeck, Ricardo
N1 - Conference code: 1
PY - 2023/12/14
Y1 - 2023/12/14
N2 - Answering scholarly questions is challenging without the help of query-based systems. Thus, we develop a divide-and-conquer approach based on a Large Language Model (LLM) for scholarly Knowledge Graph (KG) Question Answering (QA). Our system integrates the KG ontology into the LLM prompts and leverages a hybrid prompt learning strategy with both query structure and content. Our experiments suggest that given an ontology of a specific KG, LLMs are capable of automatically choosing the corresponding classes or predicates required to generate a target SPARQL query from a natural language question. Our approach shows state-of-the-art results over one scholarly KGQA dataset, namely sciQA [1].
AB - Answering scholarly questions is challenging without the help of query-based systems. Thus, we develop a divide-and-conquer approach based on a Large Language Model (LLM) for scholarly Knowledge Graph (KG) Question Answering (QA). Our system integrates the KG ontology into the LLM prompts and leverages a hybrid prompt learning strategy with both query structure and content. Our experiments suggest that given an ontology of a specific KG, LLMs are capable of automatically choosing the corresponding classes or predicates required to generate a target SPARQL query from a natural language question. Our approach shows state-of-the-art results over one scholarly KGQA dataset, namely sciQA [1].
KW - Informatics
KW - Question Answering
KW - KGQA
KW - Scholarly KGQA
KW - Large Language Model
UR - http://www.scopus.com/inward/record.url?scp=85180545725&partnerID=8YFLogxK
M3 - Article in conference proceedings
VL - 3592
T3 - CEUR Workshop Proceedings
BT - Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023
A2 - Banerjee, Debayan
A2 - Usbeck, Ricardo
A2 - Mihindukulasooriya, Nandana
A2 - Jaradeh, Mohamad Yaser
A2 - Auer, Sören
A2 - Singh, Gunjan
A2 - Mutharaju, Raghava
A2 - Kapanipathi, Pavan
PB - Rheinisch-Westfälische Technische Hochschule Aachen
CY - Aachen
T2 - Scholarly QALD 2023
Y2 - 6 November 2023 through 10 November 2023
ER -
