Knowledge Graphs & Semantic AI › Knowledge Graph Construction
What are common mistakes to avoid with Knowledge Graph Construction
IntermediateAnswer
A common mistake with Knowledge Graph Construction is applying it without fully understanding the underlying data or problem, which often leads to weak or misleading results. Skipping proper testing before relying on it in a real project is another frequent error.
Real-world example A company builds a knowledge graph by extracting product names and their categories automatically from thousands of product descriptions.