Effective and Efficient Patent Landscaping

using PatBase - a case study

ICIC 2015, Nice, France

Robert Poolman Aalt van de Kuilen

Minesoft Patent Information Services B.V.

Agenda• Introduction to Minesoft

• Efficient and effective patent landscaping using PatBase

– Background and Challenges

– Methodology

– Case study

– Features of PatBase to aid patent landscaping:• Classification finder

• Chemical search

• Ranking of results by citations

• Advanced keyword highlighting

• Use of the “Similar” function

• PatBase Analytics

– Conclusion and Summary

• Founded in 1996

• Innovative Global Patent Information Provider

• HQ in London, UK

• Partners with RWS & Tempus IP

• Designs solutions to help customers harness the power

of patent information throughout the innovation process

Minesoft – Who we are

Specialists

in Patent

Information

Building

Intelligent

Patent

Information

Solutions

Minesoft - What we do

Trusted

by IP experts

Worldwide

Corporations,

National Patent

Offices, Patent

Attorneys and

Patent Search

Firms worldwide

International

Customer

Support

Global client base,

including USA,

Germany, Japan,

India and Israel

Background and Challenges

• What is a patent landscape?

“Patent landscape reports provide a snap-shot of the patent

situation of a specific technology, either within a given

country or region, or globally” (Source: WIPO)

• Challenges:

Methodology

• Subject matter investigation

• Compile search strategy

• Keywords

• Classifications

• Run initial basic search

• Analyse and optimise strategy

• Visualize and review

• Draw conclusions……..

Some Key Questions

• Is this a growing area of interest?

• What are the fields of current interest?

• Who are the key players?

• Where are the key players filing their inventions?

• Who are the “key opinion leaders” in this field?

• What is the legal status of the families in this area?

Case Study – Ebola

+

• Keyword analysis:

• Initial basic strategy: TAC=(ebola)

• New keywords: “Marburg virus or Filovirus or Hemorrhagic fever”

• Keyword analysis:

• Remove irrelevant results from landscape

• Example: “HIV Infection”

• Optimise strategy

• Classification Codes – CPC/IPC

• Add codes to strategy and review definitions for keywords

• Optimise strategy with key assignees and inventors

Features

• Classification finder

Features

• Chemical Search

• Sorting results by “Most Cited”

• Identifies key patents in the technical area

Features

• Advanced keyword highlighting

• Supports proximity operators and left and right hand truncation

Features

• “Similar” function

• Identifies patent families related to the family of interest

Features

Keywords

SpecificEbola CPC

Codes

Chemical Search

Top IPC/CPC Codes

Key assignees

and inventors

Basic strategy

• Is this a growing area of interest?

• What are the fields of current interest?

• What are the fields of current interest?

• Who are the key players in this area?

• Where are the key players filing their patents?

• Example: NIH

• Who are the “key opinion leaders” in this area?

• What is the legal status of the families in this area?

Conclusions• Growing Ebola patent landscape

• Key players include:

• NIH, Gilead, Novartis, BMS

• Smaller companies: Ibis, Kineta, Biocryst, Alios

• Top 5 countries for filing by NIH are:

• WO, US, EP, CA, AU

• Key opinion leaders include:

• Peter L Collins (NIH)

• He Liqi (BMS)

• Top fields of interest: anti-viral compounds, vaccines, antibodies,

detection methods and enhancing immune response to the virus

Summary

ChemicalSearch

ClassificationFinder

CitationSearching

Ranking by “most cited”

KeywordHighlighting

“Similar”function

Thank you

Robert PoolmanSenior Managerrobert@minesoft.com

For further information: Phone: +1 866-745-3621 Email: info@minesoft.com

Aalt van de KuilenManaging Director aaltvandekuilen@gmail.com

For further information: Phone:+31 6-5431-4840Email: info@patentinformationservices.nl