icon picker
Graph Knowledgebase

two types of main graph data models:
Property Graphs
The property graph data model generally comprises three elements:
Nodes: The entities in the graph.
Edges: The directed links between nodes. Consider them relationships.
Properties: The attributes associated with a node or with an edge
Knowledge (RDF) Graphs
The Knowledge (RDF) Graph model comprises two elements: nodes and edges, but they differ a bit from the property graph model.
In a knowledge graph, nodes can be resources with unique identifiers, or they can be values with literal strings, integers, or whatever. The edges (also called predicates or properties) are the directed links between nodes.
The “from node” of an edge is called the subject. The “to node” is called the object. When you connect two nodes with an edge, you form a subject-predicate-object statement, known as a Triple. The edges can be navigated and queried in either direction. So, a Knowledge Graph is a directed graph of triple statements.
RDF Protocol
Resource Description Framework (RDF) and Web Ontology Language (OWL)
Born via the tradition of the semantic web, knowledge base instances, such as the Google Knowledge Graph and the Wikipedia Knowledge Graph
Inference Engine
intelligently derives new knowledge from the data and the business logic

Want to print your doc?
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
) instead.