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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 [email protected]
For further information: Phone: +1 866-745-3621 Email: [email protected]
Aalt van de KuilenManaging Director [email protected]
For further information: Phone:+31 6-5431-4840Email: [email protected]