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RE: LeoThread 2024-10-26 23:37

in LeoFinance2 months ago
  1. Knowledge Graph Population

Extracted entities and relations are synthesized into an ontology-aligned knowledge graph and linked with existing structured data. Gaps are incrementally enriched through machine learning and human curation.

  1. Knowledge Graph Storage

Specialized graph databases called triplestores (supporting RDF triples) provide efficient storage and querying of interconnected entities. Popular options include Neo4j, Stardog, GraphDB and Amazon Neptune.

  1. Querying and Analysis

Graph queries unlock insights through techniques like pathfinding, pattern matching, link prediction and community detection within knowledge graphs.