
You’ve probably had the experience of searching for something on Google and having to sift through dozens of irrelevant results. This is because an ambiguous keyword such as “Cardinals,” can refer to a species of birds or a sports team. Now, Google is rolling out the search engine of the future: the semantic web, or as they call it, “Knowledge Graph.” This tool will eliminate the situation mentioned above by working with you to find the information you need with fewer clicks.
This means that when you query a term with multiple associations like “Alcatraz,” a window will appear on the right side of your results showing you options. This could be Alcatraz the island off the coast of San Francisco, or the now recently canceled TV show. Clicking either option will show you results only for that entity.
The Knowledge Graph will include summaries for some search terms on top of the page. For example, when you search for “Vincent Van Gough,” a brief bio will appear on the results page, with photos, notable paintings, and related search terms; other artists such as Picasso or Leonardo da Vinci. These “related searches” are generated from what other people clicked when searching for your query. In this respect, the graph is more closely related to a web that will help you research topics in-depth. Information will come from a variety of knowledge databases.
Google had previously focused on social search. This was due to the popularity of social networks like Facebook. Now its competitor Bing followed suit with its newest redesign, currently available upon request. With these new implementations, Google seems to be moving back to a search engine based on finding and discovering information rather than sharing it. The Knowledge Graph has the potential to process and answer specific questions directly, much like a human would, or iPhone’s Siri.
I am particularly interested to see how the Knowledge Graph will affect and interact with SEO. What do you think? Let us know on Facebook, Twitter, or LinkedIn.
Google's Knowledge Graph is a database-driven system that understands relationships between people, places, and things, allowing the search engine to surface richer, context aware results and quick summaries.
Semantic search analyses meaning and context rather than matching exact keywords, so it interprets user intent and connections among concepts, delivering results that better answer questions instead of simply listing pages containing the phrase.
Yes. By presenting clarification options and entity summaries, the Knowledge Graph lets you specify which meaning you want, drastically cutting irrelevant links when a term like Cardinals or Alcatraz has multiple interpretations.
Optimizers will need to focus on creating authoritative, well structured content around entities and relationships, not just stuffing keywords; rich snippets, schema markup, and topical depth will become more important as Google answers queries directly.
No. Microsoft's Bing and other platforms are also integrating semantic technologies; competition is pushing all major search engines toward understanding intent and delivering knowledge based results rather than basic keyword lists.