Wikidata

and some topics relate to barbers much more closely than others so you want the ones that are slightly close and connected but you also want to throw out the ones that are not related to your business so you know if you're a barber not a hairdresser you don't want to sort of talk about you know women's hairdressing that's too far from your semantic truth so you need something about those edges You can define it properly and probably a really good SEO would.

And so we use kind of structured databases like Wikipedia or Wikidata to to give that structure.

But you don't have to follow that structure.

What you need to do is be confident in your relationships between topics.

So they've got their own knowledge graph of different ideas and different concepts.

But where that concept has a match with Wikipedia, it's already mapped.

So you can easily use Wikipedia or Wikidata or probably a bunch of other databases as well to communicate what you mean by that idea.

And it will be instantly picked up by Google's knowledge graph and understand the relationship.

and some topics relate to barbers much more closely than others so you want the ones that are slightly close and connected but you also want to throw out the ones that are not related to your business so you know if you're a barber not a hairdresser you don't want to sort of talk about you know women's hairdressing that's too far from your semantic truth so you need something about those edges You can define it properly and probably a really good SEO would.

And so we use kind of structured databases like Wikipedia or Wikidata to to give that structure.

But you don't have to follow that structure.

What you need to do is be confident in your relationships between topics.

So they've got their own knowledge graph of different ideas and different concepts.

But where that concept has a match with Wikipedia, it's already mapped.

So you can easily use Wikipedia or Wikidata or probably a bunch of other databases as well to communicate what you mean by that idea.

And it will be instantly picked up by Google's knowledge graph and understand the relationship.

and life became a lot easier.

And like you, my trick was to, well, firstly, get into Wikidata, have a book, and then to start matching up all those profiles in the schema.

And it clicked into place.

The same as schema, I think, is really interesting for sure.

and life became a lot easier.

And like you, my trick was to, well, firstly, get into Wikidata, have a book, and then to start matching up all those profiles in the schema.

And it clicked into place.

The same as schema, I think, is really interesting for sure.

But I don't think it's going to have the rigor and structure that is really needed in entity mapping.

So in the system that we've got, every entity has to have a Wikipedia or a Wikidata URL.

So you can't call it an entity if it hasn't got one of those.

That immediately screws up a lot of SEOs who want to put themselves in as an entity right on day one.