Algorithm Update: Google Focusing on Semantic Search Technology

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google semantic technologyAccording to a recent interview with Amit Singhal, a top executive at Google Search, Google is planning on making drastic algorithmic changes in the near future in order to provide end users better search results. Google is hopeful that the new changes, which will be primarily focused on semantic search technology, will solidify their dominance in the search engine market and help the company provide better mobile technology moving forward.

The algorithmic shift is partially motivated by Google’s plans to launch Google Assistant later this year on Android devices. Google Assistant, which will compete directly with Apple’s Siri, will provide users with answers to questions and specific information rather than traditional search results. Singhal, who is a senior Google VP and Google Fellow, recently indicated that semantic search is a necessary for a company to be competitive long-term in the mobile space.

“When we can deliver small nuggets of information, that system is far more suited to mobile phones and searching with voice.”

While search engines already do an excellent job of analyzing the words a user types in the search box and matching the query to web pages that contain similar words or topics, matching the intent of a specific user is much more difficult. In order to better understand the searcher’s intent, Google is hoping to harness the power of semantic technologies and provide better results. Once Google thoroughly understands the information a user is searching for, they will be able to instantly provide the user that information directly within the search results page for many queries.

Singhal recently told Mashable that Google is building a huge database of information with over 200 million entities. The database, which is simply called the Knowledge Graph, is a necessary element to move away from a simple word-based system to true semantic search. However, even with an extensive database of information, it will be extremely difficult to produce an algorithm capable of instantly and dynamically analyzing relationships and similar attributes between hundreds of millions of individual entities. To analyze search queries in a way similar to the human brain, may be beyond even Google’s computational capabilities for now.

[Sources Include: WSJ & Mashable]

David Angotti

David Angotti

After successfully founding and exiting an educational startup in 2009, I began helping companies with business development, search engine marketing (SEM), search engine optimization (SEO),... Read Full Bio
David Angotti
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  • Google all the time is improving its search engine rules, so we need to follow what’s going on, thanks for update!’

  • it still takes over a decade to take idea (semantic search) already demonstrated for viability to come to market? Is this due to time it takes industry leaders to see market demand and readiness? Technology challenges does not explain why it took so long (eg see Semantic search a decade ago:

  • When Google will begin this update? All that I know is, Google already did update in past Feb 2012..
    Thank for this info, really important to follow the Google news

  • Its great that google is enhancing its ability to recognize content that will truly benefit the end user.

    I don’t see how the recent updates to webmaster tools are in line with this at all though – that is if we are all supposed to be working to improve the end user experience collectively (google/publishers and SEO”s)

    up until very recently you could download a list of all broken links on your site with a indication of where those links actually were on your site.
    Not anymore.
    While I can see what they mean with the whole over optimization – I’d say fixing broken links falls under basic maintenance that you would expect a webmaster to do as a courtesy towards his/her readers & a signal of some kind of care on the domain.

  • It´s a great articles. For the past days, the only content published in Internet about this topic was nothing but copies of WSJ article. Thank you David