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Exposing the Entity Web

May 15
Fri 6:00 PM
Location
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Estimated attendance
 19  people attended.
5.00 5.006

Who organized?
Jim Pick and Melanie Courtot

One of our members, Deep Dhillon, will be visiting Vancouver in May. He offered to present his work at Evri, http://www.evri.com/... during his stay. We will therefore have a busy May with 2 planned events :)

Abstract:

Unstructured natural language text found in blogs, news and other web content is rich with semantic relations linking entities (people, places and things). At Evri, we are building a system which automatically reads web content similar to the way humans do. The system can be thought of as an army of 7th grade grammar students armed with a really large dictionary. The dictionary, or knowledge base, consists of relatively static information mined from structured and semi-structured publicly available information repositories like Freebase, Wikipedia, and Amazon. This large knowledge base is in turn used by a highly distributed search and indexing infrastructure to perform a deep linguistic analysis of many millions of documents ultimately culminating in a large set of semantic relationships expressing grammatical SVO style clause level relationships. This highly expressive, exacting, and scalable index makes possible a new generation of information navigation and content recommendation applications.

Biography:

Deep Dhillon is the CTO of Seattle based startup Evri. He is an accomplished engineer and systems architect with extensive experience conceptualizing, architecting and deploying multiple high performance advanced networking applications. Mr. Dhillon received a B.S. in Electrical Engineering from the Illinois Institute of Technology and a M.S. in Electrical Engineering from the University of Wisconsin--Madison.

Evri Background:

Evri is a Seattle based web start up company funded by Paul Allen's Vulcan Ventures and led by Neil Roseman, former VP of Technology at Amazon. Evri has multiple products including web based topic pages, a suite of content publisher widgets, a browser toolbar application, and an extensive API. Evri recently launched its application on the Washington Post and the Times Online in London.

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