Presentation is loading. Please wait.

Presentation is loading. Please wait.

Extracting Intelligence from Patent Data Using Wisdomain’s Focust Solution An overview Presented by: Jean Archambeault, Information Specialist 2004 FPTT.

Similar presentations


Presentation on theme: "Extracting Intelligence from Patent Data Using Wisdomain’s Focust Solution An overview Presented by: Jean Archambeault, Information Specialist 2004 FPTT."— Presentation transcript:

1 Extracting Intelligence from Patent Data Using Wisdomain’s Focust Solution An overview Presented by: Jean Archambeault, Information Specialist 2004 FPTT Annual Meeting

2 2 Agenda Introduction : A word on patent analysis Focust from Wisdomain Inc. : Overview Why Focust ? CISTI perspective Web and analysis module Potential contributions : A few examples

3 3 Patent analysis - 1 Analysis of patent information for assessment of industry / technology / company, identifying trends in R&D, key technologies, opportunities… Usually part of a larger process, involving integration of different types of information : market analysis, industry news, expert opinions, S&T publications… Several applications : –Competitive Technical Intelligence, licensing / technology transfer, strategic planning, technology development, IP management…

4 4 Patent analysis - 2 Contributions to the different steps of the decision- making process : Do we go forward with this project ? Is this invention worth patenting ? Do those patents have any impact ? Is this field crowded or open ? Who could be interested in our technology ? Etc. Metrics and methods used for analysis will depend on the scope and target of the study : scalability

5 5 Levels of analysis Company / Organization Government Researcher Increasing level of detail # of patents Technical ClientNeed Project orientation Strategic planning National policy Group leader / BDO / SIG Commercialization Increasing level of metrics

6 6 Focust from Wisdomain Inc. : Overview

7 7 Focust from Wisdomain Inc. - CISTI reasons for adoption Distributed access Project management / Collaborative tool User defined fields / Memos / Attached docs. Dissemination of information Direct access to patent image (pdf) Collateral Citations Cleaning of data Export data to other analysis tools

8 8 Overview of Focust Web module –Search (saved search + alerts) –Projects management –Citation module Analysis module (software on PC) –Data cleaning –Multidimensional analysis –Citation / Inventor / Text analysis

9 9 Web module Results list Patent viewer Search module Project mgt.

10 10 Citation module : forward analysis Citation tree Citing assignee listCiting patents Patent viewer

11 11 Citation tree : Full screen

12 12 Collateral citation tree O C F B Backward Forward Collateral

13 13 Analysis module Software on PC, importing data from Web module and exporting to other analysis tools Can analyze any field, including User defined fields Data cleaning Multidimensional, citation, inventor and text analysis Interaction with Web module

14 14 Potential contributions : A few examples

15 15 Who are the active assignees - 1

16 16 Who are the active assignees - 2 In this technology, although Nissan and Toyota have similar # of patents (with international family) : –# of applications in last 10 years : Nissan 82 % Still active Toyota 19 % Less active Others, like Daimler-Chrylser and Rolls-Royce have only a few patents but 100% of them have been filed within the last 5 years –Assignees entering the field ?

17 17 International patent classification (IPC) IPC = International Patent Classification, a hierarchical classification system used to classify and search patent documents, adopted by more than 50 countries Ex : SECTION G – PHYSICS INSTRUMENTS G 01MEASURING (counting G06M); TESTING G 01 BMEASURING LENGTH, THICKNESS, OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS G 01 NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES Analyzing classification on a dataset can gives insights on trends and activity of a company / technology / industry Adapted from WIPO Website :

18 18 What is the technolgy landscape / trends ? Example : Overview of tech. development for a specific assignee Identifying process development / applications

19 19 Patent citation analysis Newer technology builds on existing technology and part of this is reflected in citation information Some results of citation analysis : –Landscape of a technology, clusters of patents –Citation behaviour of assignees (building on self / others i.e. innovators / imitators) –Identifying key patents / technology –Technology trail, from process to applications

20 20 Where can I find interest for my tech. ? - 1 Example : Searching for technology applications for potential licensees / technology development Hints : Generating ideas by identifying applications from citations received by your patents or similar patents from others Combining citation and IPC analysis to initiate categorization

21 21 Citation analysis and IPC Subclasses NRC Institute patentsPatents citing NRC Emitting IPC Impact IPC

22 22 Citation / IPC Subclass - signal analysis Emitting signal Impact signal NRC cited patents Patents citing NRC

23 23 Where can I find interest for my tech. ? - 2 Patent with IPC A61B citing NRC patent Assignee : JAPAN (Dept. IND. SC. AND TECH.) Ultrasonic pulse temperature determination method and apparatus Claims : 2. The method according to claim 1, wherein said specimen is a living organism. 3. The method according to claim 1 wherein said heating step is a heat treatment of cancer in said specimen. NRC patent Device for determining properties of materials from a measurement of ultrasonic absorption IPC : G01N-029/00; G06F-015/20

24 24 Collaboration network – NRC Institute Exporting data to other analysis tools

25 25 Thank you for your attention CONTACT : Jean Archambeault Head, NRC Information Centre, Saguenay CISTI Phone :


Download ppt "Extracting Intelligence from Patent Data Using Wisdomain’s Focust Solution An overview Presented by: Jean Archambeault, Information Specialist 2004 FPTT."

Similar presentations


Ads by Google