Knowledge Graph Feeding and Reconciliation
Actively supplying the relationships between your brand and its attributes, in subject-predicate-object form, and getting independent sources to confirm the same relationships.
Analogy Mental model
Teaching a child with picture cards, then having the zookeeper and the textbook confirm the same link, so the connection becomes permanent.
In practice What you actually do
Write definitions as explicit triples rather than as atmosphere, and use the markup properties that tie the concepts mentioned in a page to their canonical identifiers, so the machine does not have to infer what you meant by a category name.
Where people get burned Pitfalls
You can check your own standing directly: query the public knowledge graph API for your brand name and read the confidence score and the category it has assigned you. That is a faster diagnostic than guessing why recommendations miss you.
This entry was written in English from the Chinese original, not machine-translated. Read the Chinese version →