作者: Richard Leibbrandt , Helen Eddy , Dongqiang Yang , David Powers , Sarah Hayman
DOI: 10.29173/IASL7728
关键词: Metadata 、 Subject (documents) 、 General partnership 、 Consistency (database systems) 、 Small sample 、 Artificial intelligence 、 Digital learning 、 Workflow 、 Proof of concept 、 Computer science
摘要: 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 Education Network Australia (edna) team at Services to address question whether artificial intelligence techniques could be employed help creation and consistency learning resource metadata improve efficiency digital collection workflows? The results show some success automated subject categorisation small sample, conclude that classification based is useful as means supplementing assisting human classification, but not this stage replacement for educational resources.