Google recently presented the so-called Knowledge Graph: it is
aiming at identifying the meaning of search queries and the
related results, rather than simply matching a text with the Web
pages including the same words. Google used to be essentially an
empiricist machine, crafted with almost no intrinsic knowledge,
but endowed with an enormous capacity to learn associations
between individual bits of information. Approaches like this
usually rely on people’s helps in tagging Web contents to infer
meanings. Imagine also computers understanding web pages, for
example by using an application allowing the machine (no matter
the language) to identify the different items that make up Web
pages (e.g. images, videos, text, music, or ads). Diffbot, a
startup, based in Palo Alto, California, is about doing that. It
offers API allowing machines to “capture” the purpose of various
objects of Web pages. Basic idea is using the visual learning
technology of self-driving cars and applying it to Web pages.
For example: on ar