Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Skip to main content

Trinity College Dublin, The University of Dublin

Menu Search


Trinity LibTech Research Showcase 2019

An archive of the research presented at the Trinity LibTech Research Showcase, held as part of the 2019 LIBER Conference

Dr. Jeremy Debattista - Understanding Information Professionals: A Survey on the Quality of Linked Data Sources for Digital Libraries

In this presentation we discuss the experiences of Information Professionals (IPs) with regard to Linked Data quality. We highlight the shortcomings in terms of quality in linked data sources and the quality considerations taken by IPs when searching for such sources for their daily tasks such as metadata creation. Later on we demonstrate a new proof-of-concept linked data search tool which enables IPs to identify the best quality measures for an interlinking task in order to rank various linked data sources based on their quality.

About the Speaker

Jeremy is a research fellow in the Knowledge and Data Engineering Group and ADAPT Centre. He holds a PhD in Computer Science from the University of Bonn. His thesis addressed data quality issues in Linked Data, looking at techniques to efficiently assess large linked datasets and modeling of quality metadata.