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Patent Attorneys Attorneys-at-Law
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?
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
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
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
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
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)
How is a Patent Map created?
Quantitative Analysis
Qualitative Analysis
PatentMap
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
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
Example Patent Maps
Source: MaxVal IP
Case Studies – Example 1
Starbucks’ Coffee Cup Sleeve U.S. Patent 5,205,473
Case Studies – Example 1
Source: IPVision, Inc.
Case Studies – Example 2
Car Airbag Chip U.S. Patent 5,345,824
Case Studies – Example 2
Source: IPVision, Inc.
Case Studies – Example 2
Source: IPVision, Inc.
Case Studies – Example 3
Diaper U.S. Patents 4,704,116 and 4,695,278
Case Studies – Example 3
Source: IPVision, Inc.
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)
Case Studies – Example 4
Immunomedics Inc. (19)
IBC Pharmaceuticals (2)
Roche Holding (34)
CuraGen Corporation (38)
Corixa Corporation (23)
Ceptyr (15)
Assignee Distribution
Case Studies – Example 4
CeptyrCorixa
CorporationRoche Holding
Immunomedics Inc.
IBC Pharmaceuticals
Activity
1Antagonist of PR092240
10Modulates cell cycle
1Binds to NCA90 or NCA95
3 92Inhibition of cancer cell
proliferation
2Inhibition of HGF receptor
activation
18 78Modulates immune response
14 41Modulates apoptosis
1Antagonist of STOP-1
2Binding to human VEGF
66 2Binding to specific
Antigen/polypeptide
12 2Induces cell death
CuraGen Corporation
1
3
30
IP Activities
Case Studies – Example 4
4 + 3
2
4 + 33 + 4
12 + 1 + 3
1
43 + 24 + 11
ProphylacticTherapeuticDetection
*Color codes: Main/ independent claim; dependent claim, disclosed
Mode of Treatment
Case Studies – Example 4
13
1
17
27
4 1
15
1 2
1
1330
5 2 1
1
13
5
20
5
10
15
20
25
30N
o. o
f re
co
rds
IBC Pharmaceuticals
Immunomedics Inc.
CuraGen Corporation
Ceptyr
Corixa Corporation
Roche Holding
Mode of treatment
Number of Applications vs. Mode of Treatment and Assignee
Case Studies – Example 4
16
1
1012
53
53
1 1 1
2
9
46
2 2 1 16
14 3 3
52 1
47
31
3 2 2 2 1 2 1 1
13
2
0
2
4
6
8
10
12
14
16
No
. o
f re
co
rds
IBC Pharmaceuticals
Ceptyr
CuraGen Corporation
Immunomedics Inc.
Corixa Corporation
Roche Holding
Type of cancer
Ass
igne
e
Number of Applications vs. Type of Cancer and Assignee
Case Studies – Example 4
2 1
29 29
12
29
14
14 14
2 2 2 2
3 14 3 3 2
5 41 1 2 1 1
0
5
10
15
20
25
30
No
. of
rec
ord
s
Corixa Corporation
Roche Holding
Immunomedics Inc.
IBC Pharmaceuticals
Ceptyr
CuraGen Corporation
Other diseases
Number of Applications vs. Kind of Disease and Assignee
Case Studies – Example 4
3
29
41
7
25
35
3 3 2 1 13
1
5
14
2 2
3
8
31 1 1 2
13
10
2
0
5
10
15
20
25
30
No
. o
f re
co
rds
IBC Pharmaceuticals
Ceptyr
Immunomedics Inc.
Corixa Corporation
Roche Holding
CuraGen Corporation
Priority year
Ass
igne
e
Number of Applications vs. Priority Year and Assignee
Case Studies – Example 4
1 1 26 9
20
4348
0
5
10
15
20
25
30
35
40
45
50
No
. of
rec
ord
s
A01K C12P C07H C12Q G01N A61K C07K C12N
Primary IPC code
Number of Applications for a particular Assignee vs. Primary IPC Code
Case Studies – Example 4
1
12
25
1 1
1 1 1 24
8
14
3
1
6
5
11
1 14 4
8
1
2 1 13
7
0
5
10
15
20
25
No
. o
f re
co
rds
Ceptyr
Immunomedics, Inc.
Corixa Corporation
Roche Holding
IBC Pharmaceuticals
CuraGen Corporation
Primary IPC code
Ass
igne
e
Number of Applications vs. Primary IPC Code and Assignee
Case Studies – Example 4
1 1 1 1 1 1 2 3 3 3 4 6 7 7 8 13 14 17
53
77 8290
108 105
0
10
2030
40
5060
7080
90
100110
120
No
. o
f re
co
rds
Country
Number of Applications of a particular Assignee vs. Country
Case Studies – Example 4
14
13
1010
9
9
15 23
1014
129
3 77
5
2
2
11
1
35
3129
19
19
14
2426
2424
24
1612
45
3 65
43
3
13
21
1
1
1514
15
13
11
4
12
1
1
2
1
21
22
21
11
0
10
20
30
40
ES EA
OATR
PLGB
BGNZ
NOZA
DKMX
ATDE
CZCN
BRIL
JPEP
CAUS
AUPCT Appl
Number of Applications vs. Country and Assignee
Patent Attorneys Attorneys-at-Law
Thank you!