Knowledge Graph

A Knowledge Graph is a graph structure that represents domain knowledge (through entity relationships and semantic connections).

• AKA: Semantic Knowledge Graph, Entity Graph, Knowledge Network.
• Context:
  • It can (typically) store Entity Information through node representations.
  • It can (typically) capture Relationship Types through edge labels.
  • It can (typically) model Domain Knowledge through graph structures.
  • It can (typically) maintain Semantic Context through property annotations.
  • ...
  • It can (often) support Knowledge Query through graph traversal.
  • It can (often) enable Knowledge Inference through pattern matching.
  • It can (often) facilitate Knowledge Integration through graph merges.
  • It can (often) evolve Knowledge Structure through incremental updates.
  • ...
  • It can range from being a Domain Specific Graph to being a General Knowledge Graph, depending on its knowledge scope.
  • It can range from being a Static Graph to being a Dynamic Graph, depending on its update frequency.
  • It can range from being a Simple Graph to being a Complex Graph, depending on its structure complexity.
  • ...
  • It can integrate with KG Database for data storage.
  • It can utilize Graph Algorithms for knowledge discovery.
  • It can incorporate Ontology Structures for schema definition.
  • ...
• Example(s):
  • Enterprise Graphs, such as:
    • Business Knowledges, such as:
      • Product Graph for product relationships.
      • Customer Graph for customer interactions.
  • Research Graphs, such as:
    • Scientific Knowledges, such as:
      • Citation Graph for publication connections.
      • Research Network for collaboration patterns.
  • Web Graphs, such as:
    • Internet Knowledges, such as:
      • Search Graph for web relationships.
      • Social Graph for user connections.
  • ...
• Counter-Example(s):
  • Relational Database, which uses tabular structure.
  • Document Store, which lacks explicit relationships.
  • Text Corpus, which contains unstructured data.
• See: Graph Database, Semantic Network, Ontology, Entity Relationship, Knowledge Base.

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