Google search gets semantic

The very own Google search has undergone transformation and has now
turned to be semantic.Google modified its globally popular Internet
search service to understand relationships between words, as the
company bids to better grasp what Web users are looking for.

Along with taking into account intended meanings of search terms,
Google beefed up results pages with longer snippets in summary
paragraphs focused on what people appear to be seeking. This
modification comes as a part of Google's efforts to better understand
its users' searches. Google searchs from Tuesday will produce results
based on semantic search in as may as 37 differnet languages.

The newly deployed technology would now attempt to understand the
association between the words entered by the user in the search
engine.

In the words of Google search quality team technical lead Ori Allon
and snippets team engineer Ken Wilder, "We're deploying a new
technology that can better understand associations and concepts
related to your search. We are now able to target more queries, more
languages, and make our suggestions more relevant to what you actually
need to know."

Internet search services have traditionally been based on matching key
words typed into query boxes with words at websites or in other online
data.

There has been growing interest in "semantic searches" that are smart
enough to go beyond simply matching words to understanding what
sentences or combinations of words mean.

A longstanding concern has been whether companies will be able to
implement technology that can process the increasingly complex
searches with the high speed that Internet users have come to expect.

Microsoft recently confirmed it is testing a Kumo.com semantic search
engine it hopes will be more popular than its Live Search service that
has long been mired in a distant third place behind Yahoo! and market
leader Google.