Bong Long Reader

Connecting facts, not just keywords, to deliver smarter search results.

➤Google’s Knowledge Graph Is a Semantic Search Technology:
The Knowledge Graph is Google’s system for understanding real-world entities—like people, places, and things—and their relationships.
➤Launched in 2012 to Improve Search Understanding:
Introduced in May 2012, the Knowledge Graph aimed to move beyond simple keyword matching and make Google search more intelligent and intuitive.
➤It Powers Rich Information Boxes in Search Results:
The information panels you see on the right-hand side of search results for celebrities, businesses, or events come from the Knowledge Graph.
➤Helps Google Understand Context, Not Just Queries:

Instead of treating each word separately, the Knowledge Graph enables Google to grasp the meaning and intent behind your search.
➤Built on Billions of Data Points:
It contains billions of facts about over 500 billion entities, sourced from trusted public databases, Wikipedia, CIA World Factbook, and private partnerships.
➤Enables Voice Search and Google Assistant Responses:
The Knowledge Graph powers natural responses in voice queries, allowing smart assistants to provide precise, context-aware answers.
➤Enhances SEO Through Entity Recognition:
Businesses and content creators benefit from being recognized as entities in the Knowledge Graph, increasing visibility and authority in search results.
➤Used for Disambiguation of Similar Terms:
Google can distinguish between queries like “Apple” the company vs. “apple” the fruit thanks to the relationships defined in the Knowledge Graph.
➤Feeds into Features Like People Also Ask & Related Searches:
Suggestions and content in boxes like “People Also Ask” and “Related Searches” are enhanced by entity connections in the Knowledge Graph.
➤Continues to Evolve with AI and Machine Learning:
As Google integrates more advanced AI, the Knowledge Graph is becoming even smarter at interpreting user intent and delivering accurate, connected information.