One of Google’s stated goals is to index all of the world’s information, the ever-changing mass of combined knowledge and snarky commentary that lives on the Internet. Today this index is getting some context, with billions of attributes and connections linking millions of individual nouns — Things, in Google’s parlance. This type of context-informed dataset is frequently known as the semantic web, but Google is avoiding that term and calling it Knowledge Graph.
By some definitions, "Web 3.0" will be characterized by semantic mapping of data. Unlike regular searches which mine information based on keywords you type in, semantic search looks for information you want by connecting the meaning of words. Say, for example, you type in the word "cold." The way search engines like Google and Yahoo run now, you would get results based on the word alone. But "cold," like many words in the English language, is ambiguous and could mean anything from your health to the temperature.
Next-generation search engine tech aims to understand natural written language
By Gregory MonePosted 02.22.2008 at 12:04 pm 4 Comments
A handful of start-ups are getting ready to challenge Googles predominance in the Web sleuthing world by offering whats known as semantic search.
The companies—Powerset, Hakia, Cognition Search, Lexxe—are trying to develop a search technology that would allow you to look for material on the Web while writing like a normal, educated human, instead of just entering keywords, and dropping all the in-between stuff that gives us those wonderful things called sentences.