Project
Data as a Service Architecture
This project is a collaboration with CIRES partner the Queensland Police Service and aims to develop a novel system for making efficient and effective queries and recommendations based on multi-source data, by constructing an enterprise knowledge graph model for analysing complex objects from multiple data sources. The project commenced in October 2023 with the recruitment of PhD researcher Fidan Karimova at The University of Queensland.
About the Project
This project aims to develop a novel system for making efficient and effective queries and recommendations based on multi-source data from partner, the Queensland Police Service [QPS], by constructing an enterprise knowledge graph model for analysing complex objects from multiple data sources. The project will develop ranking algorithms and deep models for yielding efficient and effective data queries recommendations, which also consider the evolutionary, uncertain data, and human experts in the loop. The proposed techniques will be validated by conducting interactive experiments on the QPS data lake. The applicability of graph-based methods for generating complex network, ranking methods, and deep models for making queries and recommendations will be explored to discover relationships, rules and patterns previously unknown, and potentially useful for on-duty police officers.
This project commenced in October 2023 with the recruitment of PhD researcher Fidan Karimova at The University of Queensland. Fidan and the project team will collaborate closely with leading experts in the Queensland Police Service (QPS) to develop a prototype system to showcase the scalability, reliability, and usability of an AI-based data discovery system. Fidan is supervised by CIRES Chief Investigators Dr Rocky Chen and Associate Professor Hongzhi Yin, Affiliate Investigator Dr Wen Hua, Centre Director Professor Shazia Sadiq, and Partner Investigator from QPS Mr Nick Moss.
This is one of two CIRES projects with QPS related to the responsible use of sensitive data assets. The other project Bias Mitigation in Human in the Loop Decision Systems commenced in April 2023.
The Queensland Police Service (QPS) aims to be a data driven organisation with an advanced data analytics capability to inform decision making via legally and ethically actionable analytics.
The QPS Organisational Insights Platform (OIP) was established as the QPS advanced data and analytics platform for tactical, operational, and strategic decision making. A foundational building block of the OIP is the Data Lake to become the QPS centralised repository to store approved structured and unstructured data. The information resilience challenge is how to extract insights from, and the responsible use of, sensitive data assets.
QPS are looking at this partnership opportunity with CIRES to build, protect and sustain agile data pipelines, in addition to upskilling officers, and identifying and employing potential data scientists, to position QPS as an insight driven organisation. One key measure of success will be better informed tactical, operational, and strategic decision makers who can apply resources, develop policy, procedures, and practices so that the lives of Queenslanders benefit positively.
Project Team
Fidan Karimova
PhD Researcher
Dr Rocky Chen
Chief Investigator
Dr Wen Hua
Affiliate Investigator
Prof. Shazia Sadiq FTSE
Centre Director
A.Prof Hongzhi Yin
Chief Investigator
Nick Moss
Partner Investigator
Partner
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