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ERIC Number: ED518554
Record Type: Non-Journal
Publication Date: 2010
Pages: 12
Abstractor: As Provided
Smart Collections: Can Artificial Intelligence Tools and Techniques Assist with Discovering, Evaluating and Tagging Digital Learning Resources?
Leibbrandt, Richard; Yang, Dongqiang; Pfitzner, Darius; Powers, David; Mitchell, Pru; Hayman, Sarah; Eddy, Helen
International Association of School Librarianship, Paper presented at the School Library Association of Queensland and the International Association of School Librarianship Conference incorporating the International Forum on Research in School Librarianship (Brisbane, QLD, Australia, Sep 27-Oct 1, 2010)
This paper reports on a joint proof of concept project undertaken by researchers from the Flinders University Artificial Intelligence Laboratory in partnership with information managers from the Education Network Australia (edna) team at Education Services Australia to address the question of whether artificial intelligence techniques could be employed to help with creation and consistency of learning resource metadata and improve the efficiency of digital collection workflows? The results show some success with automated subject categorisation on a small sample, and the researchers conclude that automated classification based on artificial intelligence is useful as a means of supplementing and assisting human classification, but is not at this stage a replacement for human classification of educational resources. (Contains 2 tables.)
International Association of School Librarianship. P.O. Box 83, Zillmere, Queensland 4034, Australia. Tel: +61-7-3216-5785; Fax: +61-7-3633-0570; e-mail:; Web site:
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Association of School Librarianship (IASL); School Library Association of Queensland Inc. (SLAQ)
Identifiers - Location: Australia
Grant or Contract Numbers: N/A