Google’s Knowledge Graph: Entities and Relationships
A bit of history: Google’s Knowledge Graph is a Unlinked Brand Mentions vast database that organizes . Information about real-world albania phone number library entities (people, organizations, places, objects, concepts) and the relationships between them. Launched in 2012, it draws its information from reliable sources like Freebase (an open database acquired by Google), Wikipedia , the CIA World Factbook, and other structured databases. This data allows Google to have verified facts about entities (dates, descriptions, attributes) and to establish semantic connections between them.
For example, instead of simply matching keywords, Google might the importance of the buyer persona understand . That a query like “capital of country with Eiffel Tower” is targeting the entity “Paris, France .” Even if neither “Paris” nor “France” are explicitly mentioned in the query. This shift from processing text strings to understanding ” things , not strings” marked Google’s shift toward entity-based semantic search .
Why is this important?
Being present in the Knowledge Graph is a major asset for a website or brand. If your brand, product, organization, or person is already clearly defined in Google’s Knowledge Base, you have a head start over a competitor who isn’t listed there. This is because Google knows your entity and can more easily enrich the information about it, for example, by displaying a Knowledge Panel (information box) when people search for your name.
The Knowledge Graph itself stores the facts, while the Knowledge Panel is the visual showcase in brazil data search results. Google decides to display a panel for an entity when it believes it has sufficient confidence in its identity and reputation. To be recognized, it is not enough to manually add information: Google relies on verifiable data and reliable sources. If your entity is already identified, the strategy is then to enrich its file by providing . Google with structured and validated information (for example via schema.org markup , Wikipedia/Wikidata pages, official profiles). Over time, Google aggregates this data from various sources to complete the portrait of the entity in its knowledge graph.