Student research opportunities
Invention Information Retrieval and Visualisation
Project Code: CECS_943
This project is available at the following levels:
Honours, Summer Scholar, Masters
Keywords:
information retrieval; information visualisation
Supervisors:
Dr Hanna SuominenDr Gabriela Ferraro
Outline:
Timely and understandable access of reliable information is critical for creating and assessing new inventions. However, the large amount and varying reliability of invention information in patents, scientific papers, social media, and other relevant sources together with different needs of various user groups limit the accessibility. The challenge is to get the right information to the right people in the right format at the right time.
Goals of this project
In this project, we will develop and apply language technologies to improve information access via improved information retrieval, linkage, visualisation, and readability.
Requirements/Prerequisites
This project will appeal to students with excellent skills in teamwork and programming. Our preference is on students who have finish/are taking the course of Document Analysis in ANU or similar.
Student Gain
- Experience in conducting software research and experiments
- Work experience in an independent company in the business of ICT research, commercialisation, and research training
- Support in publishing the results as a scientific paper
- Possibilities to interact with a multi-professional design and implementation team
- Possibilities for real-life use studies and extensions with increasing machine intelligence functionalities in the future
Background Literature
CD Manning and H Schütze (1999). Foundations of Statistical Natural Language Processing. MIT Press; Cambridge, MA.
Links
Hanna SuominenGabriela Ferraro




