Our Work “Automatic Classification of Digital Objects for Improved Metadata Quality of Electronic Theses and Dissertations in Institutional Repositories” Published in IJMSO Volume 14, Issue 13

Our article, submitted to the International Journal of Metadata, Semantics and Ontologies has been published in the journal’s “Volume 14, Issue No. 3“.

The article, titled “Automatic classification of digital objects for improved metadata quality of electronic theses and dissertations in institutional repositories“, proposes and demonstrates the feasibility of automatically classifying IR ETDs and, additionally, ensuring that repository digital objects are appropriately structured. The automatic classification of repository objects has the obvious benefit of improving the searching and browsing of content in IRs and further presents opportunities for the implementation of third-party tools and extensions that could potentially result in effective self-archiving strategies.