Making Connections between Data with Semantic Search

October 18, 2012

In “Google’s Knowledge Graph: Implications for Search & SEO,” Bharati Ahuja discusses Google’s hopes for the Knowledge Graph to help deliver a more perfect search engine, or in Google’s Matt Cutts’s opinion, a knowledge engine. The Knowledge Graph aims to help users find the right thing, get the best summary, and go deeper and broader to discover more about the search to potentially answer the user’s next question before it is asked. Ahuja explains its impact on SEO:

The Knowledge Graph is also paving the way to new approaches toward SEO. Semantic search isn’t just about the web. It’s about all information, data, and applications. Data is the foundation on which such a web and search world can exist. Data in itself is meaningless, but when data gets linked because of its relationships with various data sets available on the web, it becomes useful and meaningful. So when users type in a query, these inter-connected relationships add context and the related information more powerful.

The power of semantic search in addition to relevant content is key to gaining and retaining an audience. A powerful search system that can make connections among vast amounts of data can also help deliver a better search experience for users. One solution worth taking a look at is InSite from Mindbreeze. InSite is capable of searching a wide variety of specific documents, including PDFs, Excel sheets, and Word documents, as well as searching social media sites and Web sites.

Philip West, October 18, 2012

Sponsored by, developer of Augmentext.


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