Google's path to semantic search

A comprehensive repository of Taiwan's data and information.
Post Reply
Reddi1
Posts: 399
Joined: Thu Dec 26, 2024 3:10 am

Google's path to semantic search

Post by Reddi1 »

When it comes to semantic search, Google relies on the Knowledge Graph and the Hummingbird update introduced in 2013 , which ushered in semantic search. But Google's interest in developing a semantic search engine goes back over 10 years. Back in 2007, Marissa Mayer, then head of search and user experience , said the following in an interview with IDG News Service:

“ Right now, Google is really good with keywords and that's a macedonia phone number data limitation we think the search engine should be able to overcome with time. People should be able to ask questions and we should understand their meaning, or they should be able to talk about things at a conceptual level. We see a lot of concept-based questions — not about what words will appear on the page but more like 'what is this about?'. A lot of people will turn to things like the semantic Web as a possible answer to that.”

In the same interview, Marissa Mayer also made it clear that semantics alone is not the basis for the “perfect search engine”.

“ That said, I think the best algorithm for search is a mix of both brute-force computation and sheer comprehensiveness and also the qualitative human component. ”

But Google's focus on semantics was evident long before 2007. A look at Google's patent search suggests this. Since 2000, Google has already signed several patents with a view to semantic analyses of search queries and documents, such as Identification of semantic units from within a search query (2000) or Document ranking based on semantic distance between terms in a document (2004).

It can be assumed that Google has been dealing with the development of a search engine with influences from semantics since its founding in 1998 .

The first official announcement by Google regarding the use of semantic-like technologies was in 2009. A completely semantic search was not possible due to the lack of scalability. A semantic analysis of documents would have affected the usability and speed of the application. The output of search results in real time would not have been possible.
Post Reply