« Graph database » : différence entre les versions
(Page créée avec « == en construction == Catégorie:Vocabulary Catégorie:Intelligence artificielle Catégorie:Wikipedia-IA == Définition == ... == Français ==... ») Balise : Éditeur de wikicode 2017 |
m (Remplacement de texte : « ↵<small> » par « ==Sources== ») |
||
| (Une version intermédiaire par le même utilisateur non affichée) | |||
| Ligne 1 : | Ligne 1 : | ||
#REDIRECTION[[Base de données graphes]] | |||
[[Catégorie:ENGLISH]] | |||
[[ | |||
[[Catégorie: | |||
== Anglais == | == Anglais == | ||
| Ligne 16 : | Ligne 8 : | ||
is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. A key concept of the system is the graph (or edge or relationship), which directly relates data items in the store a collection of nodes of data and edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly, and in many cases retrieved with one operation. Graph databases hold the relationships between data as a priority. Querying relationships within a graph database is fast because they are perpetually stored within the database itself. Relationships can be intuitively visualized using graph databases, making it useful for heavily inter-connected data.[188] | is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. A key concept of the system is the graph (or edge or relationship), which directly relates data items in the store a collection of nodes of data and edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly, and in many cases retrieved with one operation. Graph databases hold the relationships between data as a priority. Querying relationships within a graph database is fast because they are perpetually stored within the database itself. Relationships can be intuitively visualized using graph databases, making it useful for heavily inter-connected data.[188] | ||
==Sources== | |||
[https://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence Source : Wikipedia] | [https://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence Source : Wikipedia] | ||
Dernière version du 27 janvier 2024 à 22:58
Rediriger vers :
Anglais
raph database
is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. A key concept of the system is the graph (or edge or relationship), which directly relates data items in the store a collection of nodes of data and edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly, and in many cases retrieved with one operation. Graph databases hold the relationships between data as a priority. Querying relationships within a graph database is fast because they are perpetually stored within the database itself. Relationships can be intuitively visualized using graph databases, making it useful for heavily inter-connected data.[188]
Sources
Contributeurs: wiki
