Virtual Record Treasury of Ireland

Knowledge Graph

The Knowledge Graph for Irish History is a dynamic research tool enabling discovery of information about Ireland’s deep history. The Graph uses Linked Open Data technologies to make connections between datasets and archival collections, both within and beyond the Virtual Record Treasury.

A New and Dynamic Way to Explore the Past

Visit the Knowledge Graph Explorer to learn more

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Key numbers

13,747
Persons
44,032
Early Modern Places
108,110
Modern Places
7,704
Links to the Linked Open Data cloud
23
Ontology Classes
650k
Distinct Resources
2.7M
Triples

Hidden Stories

Advanced Tools

Knowledge Graph Explorer

Using Linked Open Data technologies, the Knowledge Graph for Irish History makes connections between datasets and archival collections, both within and beyond the Virtual Record Treasury. The Knowledge Graph for Irish History is a Five Star Linked Open Data resource—the first of this kind to exist for Irish historical research.

Glossary

Attribute
A specific piece of information about a person, place, office, or organization entity. Attributes for a ‘person entity’ might include name, date of birth or religion, for example. 

Entity
A person, place, office, or organization extracted from the historical records. 

Floruit
A period of time when a person was most active. Used in place of known birth and death dates.

Knowledge Graph
A network graph which organizes data in terms of different entities or concepts and connects their attributes and relationships with meaningful links.

Linked Data
A Knowledge Graph that is available on the Web and interlinked with additional external Knowledge Graphs, also on the Web.

Ontology
A type of controlled vocabulary establishing a shared understanding of concepts, categories, and relationships within a subject area. 

Resource Description Framework (RDF)
A standard model for representing and linking structured information on the web, used by the Virtual Treasury to store knowledge graph data.

Schema: the framework for recording and organizing an entity’s attributes and relations. Each entity type has its own schema.

Structured data: data which conforms to a data model and has a well defined structure.

Subgraph: a smaller grouping of information within the Knowledge Graph.

Triple: <Subject, Predicate, Object> – a statement used to construct the knowledge graph by defining attributes and relationships

  • Subject – a thing, often an entity
  • Predicate – defines the relationship between the subject and the object 
  • Object – the entity or attribute related to the subject

Vocabulary: a formal standard for the entity types and relations. It is usually seen as a lightweight version of an ontology.

Team and Acknowledgements

ADAPT, School of Computer Science and Statistics, Trinity College Dublin

  • Professor Declan O’Sullivan
  • Dr Lucy McKenna
  • Dr Alex Randles

Department of History, Trinity College Dublin

  • Dr Peter Crooks
  • Dr Lynn Kilgallon

Past researchers

  • Dr Beyza Yamin
  • Dr Fabrizio Orlandi
  • Dr Christophe Debruyne
  • Dr Gary Munnelly
  • Maraim Masoud