Semantic parsing for natural language queries over industrial knowledge graphs

Ziyu Zhao

Research output: Thesis › Doctoral Thesis

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Abstract

Modern organizations store most of their data in relational databases with both structured fields (e.g., functional location, maintenance date) and unstructured fields (e.g., descriptive texts). Knowledge graphs effectively integrate this data, but their complexity makes them difficult for non-technical users to access. This thesis explores neural semantic parsing models to create natural language interfaces for querying knowledge graphs. Semantic parsing translates natural language queries into structured formal representations like SQL for relational databases and Cypher for property graphs, making data access easier for all users.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Liu, Wei, Supervisor
  • Hodkiewicz, Melinda, Supervisor
  • French, Tim, Supervisor
  • Stewart, Michael, Supervisor
Award date30 Jul 2024
DOIs
Publication statusUnpublished - 2023

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  • THESIS - DOCTOR OF PHILOSOPHY - ZHAO Ziyu - 2023

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    • 2 Conference paper

    • CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs

      Zhao, Z., Liu, W., French, T. & Stewart, M., 2024, AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Proceedings. Liu, T., Webb, G., Yue, L. & Wang, D. (eds.). Springer Science + Business Media, p. 120-132 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14472 LNAI).

      Research output: Chapter in Book/Conference paper › Conference paper › peer-review

      3 Citations (Scopus)

    • Natural Language Query for Technical Knowledge Graph Navigation

      Zhao, Z., Stewart, M., Liu, W., French, T. & Hodkiewicz, M., 2022, Data Mining - 20th Australasian Conference, AusDM 2022, Proceedings. Park, L. A. F., Simoff, S., Gomes, H. M., Doborjeh, M., Boo, Y. L., Koh, Y. S., Zhao, Y. & Williams, G. (eds.). Singapore: Springer, p. 176-191 16 p. (Communications in Computer and Information Science; vol. 1741 CCIS).

      Research output: Chapter in Book/Conference paper › Conference paper › peer-review

      2 Citations (Scopus)

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