Evri - semantic flatlands

What does Evri  do?  Evri's technology automates connections between Web content by applying a more human-like understanding of the words on the page. We think that there is a big opportunity to help website publishers better engage their readers and help readers discover compelling content in a new and addictive way.

Evri is one of a growing class of tools which surfaces semantic relations between web objects, and mashes this up with chunks of well structured content, images and so on - it could be called semantic mashup. 

Presentationally, Evri is quite good. But the surfaced semantic data is pretty lame. Against Warren Buffet, for example it lists Woolworths alongside Berkshire Hathaway. But exploring the connection leads to an article about the young Buffet visiting a branch of Woolworths.

And for anyone who knows much about Michel Foucault, the diagram above and the relations it portrays is pretty close to meaningless as it says nothing about these relationships which vary enormously.  His 'relationship' with Heidegger was exhausted in the early 1950s; with Derrida it was sometimes sharply in conflict; with Deleuze it was one of mutual admiration; Baudrillard annoyed him with a book titled 'Forget Foucault'. No mention of Daniel Defert, his partner; no Canguilhem; no Dumezil. In other words, nothing of interest or importance is captured in the relations surfaced in Evri.  All subtlety lost, in what could be called semantic flattening.

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