Describing Digital Humanities Projects With Linked Data: A Task-based Evaluation of Linked Data Ontologies

This study attempts to shed light on the lack of semantic web infrastructure for documenting digital humanities projects by creating a proof-of-concept workflow for manual and semi-automatic semantic web data creation. First, utilizing a set of five ontologies, triple data is created for a set of four projects from the University of North Carolina at Chapel Hill. The utility of these data is then determined via task-based assessment alongside a set of metrics for the data retrieved for the tasks. Ultimately, this study aims to detail the benefits of improving linked open data support for describing, and ultimately preserving, digital humanities projects in hopes of paving a path for the creation of a LOD database for digital humanities projects.Master of Science in Information Scienc