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Patent Mapping and Patent Families – Case Studies

Patent Mapping and Patent Families – Case Studies. Background. Information is required in order to… allow for good patent prosecution provide a basis for portfolio development watch competitors’ patent portfolio react to inquiries help in M&A projects. What is Patent Mapping?.

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Patent Mapping and Patent Families – Case Studies

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  1. Patent Mapping and Patent Families – Case Studies

  2. Background Information is required in order to… • allow for good patent prosecution • provide a basis for portfolio development • watch competitors’ patent portfolio • react to inquiries • help in M&A projects

  3. What is Patent Mapping? Patent Mapping… • is a tool for assessing large sets of patent data • allows the creation of a visual representation of information from and about patent documents in a way that is easy to understand • can identify which technical fields particular applicants are active in, and how their filing patterns and IP portfolios change over time • helps to find out which countries are particularly active in certain technical fields

  4. Who Uses Patent Mapping? Patent Mapping can provide valuable information for… • corporate decision-makers • investors (venture capitalists, promotional banks) • innovators (R&D) • influencers (patent offices, policy-makers) • management

  5. How is a Patent Map created? Gathering of Information: • define the data to be included in the analysis • choose a database that covers the required information • define your query • collect data • remove “noise” (irrelevant or insufficient information) • fine-tune results, e.g., harmonize applicants' names

  6. How is a Patent Map created? Quantitative Analysis • statistically analyzing patent information  typically useful data comes from bibliographical information (e.g., number of patent applications, assignees, inventors, or patent classification codes, etc  examples: - number-based analysis - time-based analysis - ranking analysis

  7. How is a Patent Map created? Qualitative Analysis • analyzing the content of patent applications/ patents • analysis can be performed by inter-relating technology contents, patent classification codes, assignees, application dates (e.g., selecting a core patent)

  8. How is a Patent Map created? Quantitative Analysis Qualitative Analysis Patent Map

  9. How is a Patent Map created? Analyzing of Information: • carry out a statistical analysis of structured information (bibliographic data, inventors, titles, …) • do text mining on unstructured information such as abstracts • export data to a spreadsheet / database • define the purpose of analysis (technologies, application, …) • add categories of information to documents • run a statistical analysis • check results

  10. How is a Patent Map created? Visualizing Results: • visualize results of statistical analysis by creating a patent map • there are many different kinds of patent maps for various purposes and users • various graphs can be used to show the results of statistical analysis

  11. Example Patent Maps Source: MaxVal IP

  12. Case Studies – Example 1 Starbucks’ Coffee Cup Sleeve U.S. Patent 5,205,473

  13. Case Studies – Example 1 Source: IPVision, Inc.

  14. Case Studies – Example 2 Car Airbag Chip U.S. Patent 5,345,824

  15. Case Studies – Example 2 Source: IPVision, Inc.

  16. Case Studies – Example 2 Source: IPVision, Inc.

  17. Case Studies – Example 3 Diaper U.S. Patents 4,704,116 and 4,695,278

  18. Case Studies – Example 3 Source: IPVision, Inc.

  19. Case Studies – Example 4 Monoclonal antibodies for detection/treatment of cancer • number of records filed during 2000 to 2005: >3000 • number of records considered for mapping: 127 • basis for selection of patent records: Assignees with more than15 patent records Data provided by Lakshmikumaran (India)

  20. Case Studies – Example 4 Assignee Distribution

  21. Case Studies – Example 4 IP Activities Activity Ceptyr Corixa Corporation Immunomedics Inc. Roche Holding CuraGen Corporation IBC Pharmaceuticals Antagonistof PR092240 1 Binding to specific Antigen/polypeptide 6 6 30 2 Inducescell death 2 1 2 Antagonistof STOP-1 1 Binding to human VEGF 2 Modulates immune response 18 8 7 3 Modulates apoptosis 14 1 4 Inhibition of HGF receptor activation 2 Binds to NCA90 or NCA95 1 Inhibition of cancer cell proliferation 3 2 9 1 Modulates cell cycle 10

  22. Case Studies – Example 4 Mode of Treatment 12 +1 + 3 4 + 3 43 + 24 + 11 4 +33 + 4 1 2 Prophylactic Therapeutic Detection *Color codes: Main/ independent claim; dependent claim, disclosed

  23. Case Studies – Example 4 Number of Applications vs. Mode of Treatment and Assignee

  24. Assignee Case Studies – Example 4 Number of Applications vs. Type of Cancer and Assignee

  25. Case Studies – Example 4 Number of Applications vs. Kind of Disease and Assignee

  26. Assignee Case Studies – Example 4 Number of Applications vs. Priority Year and Assignee

  27. Case Studies – Example 4 Number of Applications for a particular Assignee vs. Primary IPC Code

  28. Assignee Case Studies – Example 4 Number of Applications vs. Primary IPC Code and Assignee

  29. Case Studies – Example 4 Number of Applications of a particular Assigneevs. Country

  30. Case Studies – Example 4 Number of Applications vs. Country and Assignee

  31. Thank you!

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