and Semantic Search
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Google, as we all know, is the top ranked search engine that leaves all
its competitors far behind in terms of quality score and popularity.
Google is on a constant hunt for the most advanced search algorithms
to stay at the forefront. Google Hummingbird is the latest change in
search Algorithm done to improve the accuracy of search. Let us look
at Google Hummingbird and its semantic search capabilities.
Google Hummingbird algorithm is confirmed to be equally effective
for conventional and semantic search. Semantics, as the word
suggests, is the study of relationship between words and phrases used
and its syntax. Semantic search helps to identify the contextual
meaning and denotation of the words used in a content. For each
search, relevant results are generated, no matter whether the content
is on a closed system or in the worldwide web. Basically Google is on a
quest to find relationships between how people search and the
importance of giving the correct results depending on the relationships
between words and their content.
How does Semantic search Work?
technology with a view to identify the real intent of the searcher. The
results presented will therefore be closely related to what the user is
looking for. The final search results are presented only after identifying
the proper association between the terms used in search query.
Semantic search is mainly applied to deal with complex or ambiguous
queries. These queries are processed in such a way as to help the
search engines grasp the real context of the query. Semantic search is
used with regard to research related queries - cases where the user is
seeking answers instead of moving on to a particular web page.
Google’s Knowledge Graph uses semantics.
Google Hummingbird algorithm follows a statistical approach. It
processes the complete statement of query and finds out the most
appropriate webpage that contains the answer for it. The algorithm
also has the capability to handle knowledge matching, synonyms,
concept matching, and generalizations.
How it is Significant to SEO
Search engines like Google originally used to consider page rank and
relevancy as the two most important criteria to determine the ranking
of a webpage.
Page rank is dependent on the popularity of a page
based on its backlinks and relevancy is determined by the use of
search query terms and keywords. But such a webpage ranking
methodology is not found successful at all times. Certain websites that
have relevant content are missed out in such cases. This has led to the
launch of Hummingbird algorithm that uses semantics to prioritize the
As mentioned earlier, Google Hummingbird is a revolutionary attempt
to deliver precise and exact search results. It has the ability to handle
highly complex search requests and provide quick answers. According
to Google, websites with original and high quality content need not
worry about the new innovation since Hummingbird is designed only to
process information in a different way. SEO experts point out that
preoccupation is with the quality of the content on the web page.
Hummingbird is likely to have a negative impact only on those
websites that follow unethical tactics to achieve their goals.
SEO should focus on ensuring superior quality content that will appeal
to both search engines and humans, which in turn will ensure high
ranking for such content and more shares.