Geological Knowledge Graph Construction from Mineral Exploration Text

Majigsuren Enkhsaikhan

doi:10.26182/gr1q-xe54

Geological Knowledge Graph Construction from Mineral Exploration Text

Majigsuren Enkhsaikhan

Research output: Thesis › Doctoral Thesis

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Abstract

This thesis is based on the multidisciplinary research of two disciplines: computer science and geology. The main contribution
is a workflow to build a knowledge graph that addresses the challenges in applying machine learning-based natural language
models for domain-specific settings. The focus is on knowledge discovery from mineral exploration reports in geology. The
thesis investigates and develops techniques to construct a geological knowledge graph, by extracting geological details that
are important to environmental conditions for mineral deposits from mineral exploration reports. This enables the use of graph
models effective in supporting and enhancing Artificial Intelligence systems in industry-specific technical domains.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Liu, Wei, Supervisor Holden, Eun-Jung, Supervisor Duuring, Paul, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	5 Oct 2021
DOIs	https://doi.org/10.26182/gr1q-xe54
Publication status	Unpublished - 2021

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THESIS - DOCTOR OF PHILOSOPHY - ENKHSAIKHAN Majigsuren 2021
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Cite this

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KW - geological information extraction

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Geological Knowledge Graph Construction from Mineral Exploration Text

Abstract

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