Structural Patterns for Ontology Reconciliation
- Play from Welcome & Episode Overview: Structural Patterns for Ontology Reconciliation
- Play from Why Ontology Reconciliation Matters & Session Motivation
- Play from Introducing RDFLib-Neo4j: A Python Library for RDF Graph Import
- Play from Importing RDF from Wikidata via SPARQL Construct Queries
- Play from Mapping RDF Triples to Neo4j Property Graphs
- Play from Loading Mesh Ontology via SPARQL API
- Play from Importing Disease Ontology from GitHub & Comparing Ingestion Strategies
- Play from Identifying Redundant Relationships & Structural Misalignments
- Play from Finding Cross-Ontology Matches & Granularity Mismatches
- Play from Wrap-Up, Next Steps, and Community Resources
- 1Using Ontologies to Guide Knowledge Graph Creation from Unstructured Data
- 2Using Ontologies to Guide Knowledge Graph Creation
- 3Blueprints for Knowledge Graph Construction from Unstructured Data
- 4Ontology-driven end-to-end GraphRAG with the GraphRAG Python Package
- 5One Ontology to Rule Them All: Building Knowledge Graphs from Mixed Data
- 6Retrieval Methods Compared
- 7Enhancing LLM Tool Calling with Ontologies
- 8Agentic Workflows for Dynamic Ontology Selection in KG Construction
- 9Structural Patterns for Ontology Reconciliation
- 10Structuring Biomedical Noise: Graphs, AI and the Drug Discovery Dilemma
- 112 years of KGs and GenAI. A Recap
Season 02 Episode 09 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: Structural Patterns for Ontology Reconciliation
Resources mentioned
GenAI & GraphRAGKnowledge graphsAuraDB


