Ontology Stitching: How to Align/Merge Enterprise Knowledge Graphs (A Practical Guide)

In complex organizations, the same word can mean two completely different things to two different teams—this is Semantic Ambiguity, and it will break your knowledge graph. This video explores the concept of "Ontology Stitching," which is the critical process of taking two disparate or conflicting ontologies (like a Sales CRM's definition of "Client" vs. an Engineering system's definition of "Client") and carefully merging them into a unified, non-contradictory whole.

You will learn:

• Why terms like "Client," "Asset," or "Engagement" create homonymy problems in enterprise data.
• The difference between Ontology Mapping (finding the links) and Ontology Alignment (formalizing the relationship).
• How to use vocabularies like SKOS (Simple Knowledge Organization System) and owl:sameAs to create durable "stitches" that clearly define relationships like equivalence, broader, and narrower terms, preventing costly data integration errors and logical contradictions.

This is essential viewing for anyone working in Data Governance, Enterprise Architecture, or Semantic Web modeling.