Demystifying The Google Knowledge Graph -
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Demystifying The Google Knowledge Graph

Demystifying The Google Knowledge Graph

 

Search is changing and its changing faster than ever.Increasingly, we are seeingorganicelements in search resultsbeingdisplacedbydisplays coming from the Knowledge Graph. Yet the shift from search over documents (e.g. web pages) to search over data (e.g.Knowledge Graph) is still in its infancy. Remember Googles mission statement: Googles mission is to organize the worlds information to make it universally accessible and useful.

Google’s mission is to organize the world’s information to make it universally accessible and useful.

The Knowledge Graph was built to help with that mission. It contains information about entities and their relationships to one another – meaning that Google is increasingly able to recognize a search query as a distinct entity rather than just a string of keywords. As we shift further away from keyword-based search and more towards entity-based search, internal data quality is becoming more imperative.

Explicit vs. Implicit Entities

Explicit entities are obtained when search engines consume structured data markup on a web page, leveraging semantic web technology to do so.

Implicit entities refer to when entity information is derived or inferred from the text on a web page. The technology utilized to obtain these entities is typically some sort of stochastic algorithm like NLP (Natural Language Processing) or a similar form of information retrieval technique

 

Semantic search is here, and I’ve seen it being tested quite a bit. Out goes things such as authorship replaced with brands. It’s all about identification who’s really behind the scenes, universal data. Even changing to https is geared more to identification over security.  Read more about this Demystifying The Google Knowledge Graph

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