Google to add 'knowledge graph' in its search engine to make it 'more human'

Search engine giant Google Inc. has announced to make its search engine 'more human' through its newly developed algorithm 'knowledge graph'.

Google search engine is most widely used search engine tool across the world and after adding this feature in google's already most popular product it will become more intelligent, more knowledgeable.

Citing it its first "baby step" towards a "Star Trek Computer" future, Google said in its blog that google's new search power will provide close results what user want as its knowledge graph algorithm would try to asses what exactly people are looking for and present basic answer on the results page, without users needing to click on any secondary links.

"We've always believed that the perfect search engine should understand exactly what you mean and give you back exactly what you want," blogged Amit Singhal, Google's senior vice-president of engineering.

Using what Mr. Singhal called the 'collective intelligence of the web," the Knowledge Graph shows results for Tom Cruise, for example, that manage to answer 37 per cent of the next questions that people usually ask.

For developing Knowledge Graph, Google has collected information from Wikipedia, CIA World Factbook, and freebase.com.

According to Jack Menzel, director of product management at Google, the initial version of Knowledge Graph has information on 500 million people, places and things and uses 3.5 billion defining attributes and connections to create categories for them.

Initially new search power will be used in US search engine Google.com while later gradually it will be expanded in other parts of the world gradually in the phased manner, said Google in the blog.

According to sources, Google has developed this new algorithm in the rivalry of Microsoft's new tool "snapshot" that it has used in its popular search engine 'Bing'.

--With Agencies Inputs--