Google Squared, Semantic and Interactive Search Engine

From Mountain View comes the new service Google Squared: an attempt to resolve ambiguities in search results.

Although still in its experimental phase, Google Squared is the latest product from the Labs project, a hub for innovation and young minds.
This new service aims to bridge gaps in search results, offering more relevant information organized in a modular, tabular format. Its functionality appears similar to a large aggregator, but by analyzing terms semantically, searches become “intelligent” and better organized. At the same time, however, users can enrich Google Squared themselves, expanding the generated table using the “Add” function.
This capability is, however, the first criticism leveled against the new service, which ultimately asks the user to organize the search themselves.
This wouldn’t be so different from the globally accepted project that supports Wikipedia.
The results generated in Italian are currently quite approximate, while those in English are already presented better.

Google Squared thus becomes the main competitor to Wolfram Alpha, the brand-new search engine capable of providing answers even to queries formulated as questions. Wolfram Alpha’s biggest limitation currently is its search range: predominantly based on academic sources, it leaves many gaps for mass searches, those less focused on factual knowledge.
And it is precisely in this direction, on the contrary, that Google Squared is moving.

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