Glossary

A comprehensive glossary explaining technical terms related to structured data and Knowledge Graphs.

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Glossary Terms

A

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.

E

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

F

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

K

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

L

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

O

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

R

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.

S

Schema
The framework for recording and organizing an entity’s attributes and relations. Each entity type has its own schema.
Structured Data
Data that conforms to a data model and has a well-defined structure.
Subgraph
A smaller grouping of information within the Knowledge Graph.

T

Triple
– 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.

V

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