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This document summarizes Dr. Kai Simon's work on large-scale patent classification at the European Patent Office. It discusses how Averbis was selected in 2015 to use text mining to pre-classify unpublished patents and re-classify published patents if the classification system changes. The process involves classifying patents into over 250,000 classification codes across 250 departments, presenting a big data and fast response time challenge that text mining can help address.

Internet

Dr. Kai Simon
Large-Scale Patent Classification
at the European Patent Office

ABOUT AVERBIS
Founded: 2007
Location: Freiburg im Breisgau
Team: Domain & IT-Experts
Focus: Leverage structured & unstructured information
Current Sectors: Pharma, Health, Automotive, Publishers & Libraries

PORTFOLIO
Products
Information Discovery Platform
Text Mining Search and Analysis
Terminology
Management

PATENT CLASSIFICATION AT EPO
Tender No. 1585
1) Pre-Classification of
unpublished patents into departments
2) Re-Classification on
published patents, if category system changes

PATENT CLASSIFICATION AT EPO
Tender No. 1585
1) Pre-Classification of
unpublished patents into departments
Our Motivation:
• Great Classification Use-Case
– Big Data (80 Mio. patents available)
– Large Scale Category System >250.000 CPC codes
– Tough classification quality and response time
constraints
• Text Mining Success Story

http://www.epo.org/about-us/annual-reports-statistics/annual-report/2014.html

OLD CLASSIFICATION PROCESS
PATENTS CLA SSIFICATION DEPARTMENTS

CLASSIFICATION COMPLEXITY
~250.000
CPC Codes
~1.500
Ranges
250
Departments

CLASSIFICATION PROCESS
PATENTS CLA SSIFICATION DEPARTMENTS

NEW CLASSIFICATION PROCESS
PATENTS CLA SSIFICATION DEPARTMENTS

STATUS & OUTLOOK
• Quality Evaluation
[passed]
• Going Live [April]
• Continuous Optimization

COME VISIT OUR BOOTH
Products
Information Discovery Platform
Text Mining Search and Analysis
Terminology
Management

For further questions, please contact:
Noël Lochtenbergh
& Dr. Kai Simon
 + 49 (0)761 203 97690
 info@averbis.com

SOME FACTS
• about 650k training documents from 2005-2013
• supervised learning: light-weight and fast linear support
vector machine
• Training time (16 Cores, 128 GB RAM)
– Feature Extraction: ~14 minutes
– Training of Classifiers: ~10 minutes
– Classification: < 2 seconds

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Copyright Clearance Center A pioneer in voluntary collective licensing, CCC (Copyright Clearance Center) helps organizations integrate, access, and share information through licensing, content, software, and professional services. With expertise in copyright and information management, CCC and its subsidiary RightsDirect collaborate with stakeholders to design and deliver innovative information solutions that power decision-making by helping people integrate and navigate data sources and content assets. CCC recently acquired the assets and technology of Deep SEARCH 9 (DS9), a knowledge management platform that leverages machine learning to help customers perform semantic search, tag content, and discover new insights.

AI-SDV 2022: Lighthouse IP

Dr. Haxel Consult

Lighthouse IP is the world’s leading provider of intellectual property content. The core business of Lighthouse IP is sourcing and creating content from the world’s most challenging authorities. Specialized in IP data, Lighthouse IP provides over 160 countries coverage for patents, over 200 authorities for trademarks and over 90 authorities for designs. Lighthouse IP data is available via several partners. The company is headquartered in Schiphol-Rijk in the Netherlands and has offices in the United States, China, Thailand, Vietnam, Egypt, Indonesia and Belarus. Globally a team of 150 experts works on the creation of this unique data collection.

AI-SDV 2022: New Product Introductions: CENTREDOC

Dr. Haxel Consult

CENTREDOC was created in 1964 as the technical information center of the swiss watchmaking industry. Building on a strong team of engineers, CENTREDOC now offers a complete range of services and solutions for the monitoring of strategic, technological and competitive information. CENTREDOC is also a leader in the research of patent, technical and business intelligence, and offers consulting expertise in the implementation of monitoring solutions.

AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...

Dr. Haxel Consult

AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...

Dr. Haxel Consult

What if there was a platform where literature, conference abstracts, patents, clinical trials, news, grants and other sources were fully integrated? What if the data would be harmonized, enriched with standardized concepts and ready for analysis? After building our patent analytics platform we didn’t stop dreaming and built our big data analytics platform by semantically integrating text-rich, scientific sources. In my presentation I will talk about what we built and why we built it. And, of course, I will also address the challenges and hurdles along the way. Was it worth it and what comes next? Let’s talk about it!

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