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Research in the Information Sciences cluster explores the relationships between information, technology and users. This includes information behaviour research which looks at the cognitive and social factors that influence how users engage with online systems.
Research areas include:
- the cognitive and social aspects of user behaviour in information searching
- information retrieval of structured and unstructured data including XML and multimedia using machine learning and data mining
- information literacy and learning which focuses on developing deep understandings of effective information use, and creating models and frameworks to improve the information use and experience in academic, community and workplace contexts.
Web Intelligence, Search, and Data Mining
This research focuses on studying the representation, storage, organisation, access and distillation of information from data. With the explosion of information resources on the web, and with so many organisations housing massive data sources, modern computational intelligence techniques from machine learning and data mining have emerged. These, together with search engine and agent based technologies, facilitate the creation of applications that could not have been possible a few years ago.
Informatics
Informatics research develops theories and models of informatics and information science, and investigates how information is created, managed and used by individuals, societies, organisations and ICT environments with an emphasis on the information behaviour. Cognitive informatics investigates how cognitive models can inform information retrieval and web systems including cognitive issues, user studies and human user interfaces.
For more information within the field of research please contact 07 3138 1000 or infotech.research@qut.edu.au
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