A Model for Content Enrichment of Institutional Repositories Using Linked Data

Institutional repositories have positioned themselves as an essential service for many libraries. Content-enriched metadata in library records is reported as being helpful to library users in identifying and selecting information objects for their needs. The presence of this extra-enriched content helps users to decide on the relevance of the item without the need to access the full text. Through this paper, we report content enrichment of records in an Institutional Repository using Linked Open Data datasets. In particular, this is done by application of a linked dataset in an institutional repository. The design, implementation, configuration, and workflow of the application is discussed along with implications and potential future work.