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Research Thesis Topic

Ontology-based User Concept Modelling for Personalised Information Gathering in Big Data Era


Topic ID
227

Thesis Topic/Title
Ontology-based User Concept Modelling for Personalised Information Gathering in Big Data Era

Description

User concept models are formal description and specification of user background knowledge. In their brains, users implicitly possess a concept model, which is generated from their background knowledge. While this concept model cannot be proven in laboratories, many knowledge engineers have observed it in user behaviour. When users read through a document, they can easily determine whether or not it is of their interest, on the basis of a judgement that arises from their implicit concept models. Therefore, there exists a hypothesis if a user’s concept model can be simulated, we can understand how a decision (e.g., whether a document is interesting) is made, and thus, we can infer user information needs by analysing the existing concepts in simulated user concept model. This study focuses on user concept models in the personalised information gathering considering challenges presented in Big Data era. The thesis project will make potential theoretical contributions to knowledge advancement in knowledge engineering and cognitive science, as well methodological contributions to text mining, information retrieval, and data format to help deal with Big Data challenges.


Principal Supervisor

Associate Supervisors

Research Affiliations
  • School of Agricultural, Computational and Environmental Sciences

Field of Research
  • Artificial Intelligence and Image Processing
  • Cognitive Sciences
  • Data Format
  • Information Systems


Application Open Date
15/08/2016

Application Close Date
15/08/2020

USQ Scholarship Applications

Pre-approved for Ethics
Not Applicable

Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic

Programming skills;
Database skills;
Communication skills;
NO background requirements for medical (brain) and cognitive science.




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