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Saturday, April 25 • 1:20pm - 2:00pm
Building the world’s Largest Database of Car Features from PDFs

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We will discuss a new system that supports editors creating a database of the features and options available across car models, creating structured data by semi-automated information extraction from lengthy PDF documents.

Edmunds.com is an industry-leading website for car shoppers. To effectively support the car-purchasing process, Edmunds needs to understand the features and options available on the myriad different models offered by manufacturers each year. This critical structured database supports faceted search of models, searching available inventory, and other strategic uses.

This end-to-end capability supports robust processing of unstructured data to identify properties like “air conditioning” and “climate control,” and understand that they are the same underlying feature. For Edmunds, this meant an ~85% reduction in the time it now takes them to get information about a new car model online, from 2 weeks to just 1-2 days. We will also discuss how the NLP models can be re-used across other data, mapping Edmunds’ detailed ontology to a variety of unstructured data sources.


Speakers
JA

John Akred

Silicon Valley Data Science
@BigDataAnalysis | John Akred, CTO SVDS - With over 15 years in advanced analytical applications and architecture, John is dedicated to helping organizations become more data-driven. He combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership. 
RM

Rob Munro

Idibon
@WWRob | Rob Munro, CEO Idibon - Rob serves as the Chief Executive Officer of Idibon, Inc. He is a World Leader in applying big data analytics to human communications, having worked in many diverse environments, from Sierra Leone, Haiti and the Amazon to London, Sydney and San Francisco. 


Saturday April 25, 2015 1:20pm - 2:00pm
Boardroom

Attendees (10)