Question answering over knowledge graphs: A graph-driven approach

Sareh Aghaei*, Sepide Masoudi, Tek Raj Chhetri, Anna Fensel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

1 Citation (Scopus)

Abstract

With the growth of knowledge graphs (KGs), question answering systems make the KGs easily accessible for end-users. Question answering over KGs aims to provide crisp answers to natural language questions across facts stored in the KGs. This paper proposes a graph-driven approach to answer questions over a KG through four steps, including (1) knowledge subgraph construction, (2) question graph construction, (3) graph matching, and (4) query execution. Given an input question, a knowledge subgraph, which is likely to include the answer is extracted to reduce the KG's search space. A graph, named question graph, is built to represent the question's intention. Then, the question graph is matched over the knowledge subgraph to find a query graph corresponding to a SPARQL query. Finally, the corresponding SPARQL is executed to return the answers to the question. The performance of the proposed approach is empirically evaluated using the 6th Question Answering over Linked Data Challenge (QALD-6). Experimental results show that the proposed approach improves the performance compared to the-state-of-art in terms of recall, precision, and F1-score.

Original languageEnglish
Title of host publicationInternational Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022
EditorsJiashu Zhao, Yixing Fan, Ebrahim Bagheri, Norbert Fuhr, Atsuhiro Takasu
PublisherIEEE
Pages296-302
Number of pages7
ISBN (Electronic)9781665494021
DOIs
Publication statusPublished - 24 Apr 2023
Event2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022 - Virtual, Online, Canada
Duration: 17 Nov 202220 Nov 2022

Publication series

NameConference proceedings
PublisherIEEE/WIC/ACM
NumberWI-IAT 2022

Conference

Conference2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022
Country/TerritoryCanada
CityVirtual, Online
Period17/11/2220/11/22

Keywords

  • Graph Matching
  • Knowledge Graphs
  • Question Answering
  • SPARQL

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