School of Computer Science and Statistics
This project focuses on how to deploy Natural Language Processing and Generative AI approaches to support historians to annotate transcriptions. Typically this means employing techniques to undertake Named Entity Recognition and Entity Linking tasks and providing candidate annotations to the historians through a simple user interface to allow for their validation. This is an urgent … Read more
Many knowledge graphs are not constructed from scratch, but rather are based on the ongoing uplift of data from existing data sources hosted in a variety of diverse data representations (relational data, JSON, CSV, XML etc.). The community has developed specifications that allow engineers who construct and maintain knowledge graphs to flexibly specify what data … Read more
Launched in June 2025, the Knowledge Graph of Irish History (kg.virtualtreasury.ie) uses W3C based knowledge graph technologies to represent places and selected Irish people across history and links them to historical records contained in the Virtual Record Treasury of Ireland (virtualtreasury.ie). In the next phase the knowledge graph is being expanded to other entities (such … Read more
Increasingly Knowledge Graphs are underpinning Digital Humanities projects to support the representation and interlinking of data. For example in the recently launched Virtual Record Treasury of Ireland (VRTI), a KG is used to represent people, places, roles that appear in historical documents and their interconnection over the centuries. Typically these KGs are implemented using W3C … Read more