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Google's new Search feature gives single result to certain queries. Pixabay

Google on Thursday launched a new search engine for the scientific community that will help them make sense of millions of datasets present online.

The service, called Dataset Search, will help scientists, data journalists and geeks find the data required for their work and their stories — or simply to satisfy their intellectual curiosity.


The new search engine will work like Google Scholar, the company’s popular search engine for academic studies and reports.

“Dataset Search lets you find datasets wherever they’re hosted, whether it’s a publisher’s site, a digital library, or an author’s personal web page,” Natasha Noy, Research Scientist, Google AI, said in a blog post.

To create Dataset search, Google developed guidelines for dataset providers to describe their data in a way that the company (and other search engines) can better understand the content of their pages.


Google on a smartphone device. Pixabay

“These guidelines include salient information about datasets: who created the dataset, when it was published, how the data was collected, what the terms are for using the data, etc,” Noy said.

Google then collects and links this information, analyses where different versions of the same dataset might be, and finds publications that may be describing or discussing the dataset.

“We encourage dataset providers, large and small, to adopt this common standard so that all datasets are part of this robust ecosystem,” said Google.

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People can find references to most datasets in environmental and social sciences, as well as data from other disciplines including government data and data provided by news organisations, such as ProPublica.

Dataset Search works in multiple languages with support for additional languages coming soon, said Google. (IANS)


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Indian wrestler Ravi Kumar (57kg) and Deepak Punia (86kg) enjoyed fruitful outings at the Tokyo Olympic Games as they secured semifinal berths in their respective weight categories at the Makuhari Messe on Wednesday.

On the opening day of the wrestling competition, Ravi Kumar defeated Bulgaria's Georgi Vangelov 14-4 on technical superiority to reach the last-four in the men's 57kg category, while compatriot Deepak Punia overcame China's Zushen Lin 6-3 on points to advance to the semifinals.

Ravi Kumar will take on Nurislam Sanayev of Kazakhstan in the last-four, while Punia will be up against David Morris Taylor of the USA.

Earlier, Ravi Kumar had won his opening-round bout by technical superiority against Colombia's Oscar Tigreros to secure a quarterfinal spot. Competing in the Round-of-16 bout against the Colombian wrestler, the 23-year-old Ravi Kumar, who is making his Olympic debut, showed no nerves as he dominated the bout to win by technical superiority (13-2).

Ravi Kumar landed attack after attack and went 13-2 up, winning the bout by technical superiority with minutes to spare. In wrestling, building up a 10-point lead over the opponent results in a victory by technical superiority.

India's 86kg freestyle wrestler Deepak Punia showed no signs of the niggle that had forced him to pull out of the Poland Open Ranking Series in Warsaw in June, as he defeated Nigeria's Ekerekeme Agiomor on technical superiority to secure a quarterfinal berth.

He got his Olympic campaign to a fine start as he was in control from the start of the bout and hardly ever allowed his Nigerian opponent any room to maneuver his moves, finally winning with a 12-1 on technical superiority.

Punia, who had also suffered an elbow injury just before the Games, was slow at the start but came into his own as the bout progressed, inflicting takedowns at regular intervals to earn points.

The Indian wrestler eased into a 4-1 lead at the break and extended his lead comfortably in the second period.

Punia, the silver medallist from the 2019 world wrestling championships, then set up a clash with China's Lin Zushen in the quarterfinals and defeated him 6-3.

(IANS/HP)