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The ARC Training Centre for
Transforming Maintenance through Data Science
Ziyu Zhao
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Ziyu Zhao

PhD Student

Ziyu’ s interest is in the interpretation of industry data and reasoning within the knowledge domain of engineering. This is a complex application field where relatively little work has been done due to confidentiality restrictions on industry data. It is challenging to handle the many different ways natural language expresses the same information need due to the nature of language.

Some specific general challenges are:

  1. to generate the semantically equivalent expression for various natural language utterances, in other words, to identify different mentions of the exact technical words and matching different representations of technical words/terms and relationships, as well as detecting erroneous representations of those words/phrases such as spelling errors and spelling incomplete, and out-of-date data,

  2. to obtain the capability of reasoning by incorporating domain knowledge.

Ziyu is completing her PhD with Associate Professor Wei Liu, Dr. Tim French and Dr Michael Stewart at the University of Western Australia. PHD Research - Exploiting Domain Knowledge for Neural Technical Language Processing

Ziyu research will incorporate domain knowledge into neural models for technical language processing. To accomplish this, she aims to answer the following questions:

  1. How can we represent and make use of factual domain constraints, such as asset hierarchies, to benefit neural learning models in technical text processing?
  2. How can we model and represent uncertainty in the domain constraints and technical text?
  3. How can we expand and improve domain knowledge using the regularities learnt from neural models?

Ziyu is specifically focusing on data in the maintenance domain. Unstructured textual data accounts for a significant proportion of all data and is a vital asset to understand and improve maintenance processes. Ziyu has developed a pattern-based interface and is looking at the data construction for modelling the dependency between natural language utterance and schema over structured data and she will be researching a way to incorporate domain knowledge as background in order to get the capability of reasoning. The successful application of Ziyu research will improve machine readability and the retention of semantic intent of engineering texts for machine learning purposes.

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  • Friday 7 February 2025
    Welcome to 2025! CTMTDS is pleased to share news and highlights from the past few months IN THE SPOTLIGHT # Congratulations to Dr. Braden Thorne who has graduated! Braden passed his thesis with minor revisions by examiners. Sandy Spiers who has had his thesis passed with minor revisions by examiners, and has received a...
  • Saturday 13 April 2024
    Welcome to the first newsletter for 2024 where we'll cover all of the exciting activities so far in 2024! IN THE SPOTLIGHT # Congratulations to Ziyu Zhao, whose thesis was 'passed subject to minor revision'. Well done Ziyu! Congratulations also to Braden Thorne and Sandy Spiers who both submitted their theses in May...
  • Friday 1 December 2023
    This month's newsletter focuses on the activities in December IN THE SPOTLIGHT # Congratulations to Research Fellow Eden Li on winning the Innovation and Excellence in Research award in the Australian Business Deans Council ( abdc.edu.au ) for her Data Workflow Method. The panel was impressed with the strong engagement and collaboration...
  • Tuesday 21 November 2023
    This month's newsletter focuses on the activities in November and includes award won by our Research Fellows Eden Li and Sirui Li IN THE SPOTLIGHT # Congratulations to Research Fellow Eden Li on being named a finalist in the 2023 Research and Engagement Awards. These awards recognise the achievements of Curtin researchers across...
  • Thursday 11 May 2023
    Welcome to the first newsletter for 2023! We ended 2022 with two events that showcased research across our themes to industry partners. The new year began with the arrival of two new post-doctoral researchers to the Centre. In May, they teamed up with a couple of PhD students to form a...
  • Wednesday 29 June 2022
    This month's newsletter focuses on Research Theme 1 - Support the maintainer. IN THE SPOTLIGHT # Congratulations to Tyler Bikaun whose paper "QuickGraph: A Rapid Annotation Tool for Knowledge Graph Extraction from Technical Text" was accepted into the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, a top-ranking...
  • Tuesday 11 January 2022
    Welcome to an update on CTMTDS activities Aug - Dec 2021. Team Updates # Changes to the members of the Centre in the second six months of 2021: One new PhD student, Chau Nguyen, joined the Centre in October. Chau will complete his PhD at UWA within Theme 1 supervised by Tim French...
  • Wednesday 18 August 2021
    Welcome to an update on CTMTDS activities Jan - Jun 2021. Team Updates # Changes to the members of the Centre in the first six months of 2021 include welcoming: Two new PhD students: Sandy Spiers joined the Centre in February. Sandy will complete his PhD at Curtin University within Theme 3, supervised by...
  • Wednesday 6 January 2021
    Welcome to an update on CTMTDS activities. Highlights # Research Fellow for Theme 1 Michael Stewart PhD was accepted, congratulations to Dr Michael Stewart. Chief investigator for Theme 1 Dr Wei Lui is now Associate Professor Wei Lui – congratulations Wei.· PhD Candidates Yingying Yang, Tyler Bikaun, and Ryan Leadbetter completed their first candidacy...