1 / 24

Automatic Concept Identification: Extracting Problem Solved Concepts From Patent Documents

Automatic Concept Identification: Extracting Problem Solved Concepts From Patent Documents. IRFS 2007 Vienna Information Retrieval Facility Symposium Dr. Daniel J. Phelps, DJP Information Consulting Services, LLC. (c) 2007 - DJP Information Consulting Services, LLC. 1. Outline.

ipo
Download Presentation

Automatic Concept Identification: Extracting Problem Solved Concepts From Patent Documents

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Automatic Concept Identification: Extracting Problem Solved Concepts From Patent Documents IRFS 2007 Vienna Information Retrieval Facility Symposium Dr. Daniel J. Phelps, DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC 1

  2. Outline • Basics of patents • Problem solved concept • High value applications enabled • What makes concept identification hard • Organizations working in the area 2 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  3. A Patent Is • A documented solution to a technical problem using a specified technology • Legal document giving an assignee the right to stop others from using his/her patent solution for a stated period of time • Repository of technical know-how 3 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  4. Problem Solved Concept • Statement of what problem is solved in the patent* • Want to understand what problem a patent covers • Makes it easier to understand what the patent can be used for • Helps determine the value of a patent *There is only supposed to be one problem solved in one patent, but there are many exceptions to this rule. 4 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  5. What Is Enabled By Availability Of Problem Solved Concept Information • Problem solved R&D process for creating products • Patent mapping for strategic planning 5 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  6. Typical R&D Process Start Project Identify Problem Try To Solve Problem Use Individual & Company Knowledge Eventually Solve Problem IP Clearance Decision? Check On Status Of IP Include In Final Product Design 6 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  7. Problem Solved R&D Process I Useable Solution? Yes Start Project Identify Problem Search Problem Solved Database A No IP Clearance Decision Include In Final Product Design Seek IP Coverage Develop Solution 7 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  8. Problem Solved R&D Process II Work Around Work Around Or License? Develop Solution Seek IP Coverage Include In Final Product Design License Negotiate License Include In Final Product Design IP Clearance Decision 8 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  9. Patent Mapping • Problem Solved – Technology Applied • Strategic analysis of IP (c) 2007 - DJP Information Consulting Services, LLC

  10. What Makes It Hard To Identify Problem Solved Concept? • Multiple ways of expressing the concept of problem (problem, objective, etc.) • Multiple levels of problems • Main problem • Sub problem • Location in patent varies with patent granting authority and document type 10 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  11. Structural Clues in US Patent Summary of the Invention Title Abstract Background of the Invention Field of the Invention 11 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  12. Derwent World Patents Index • Online database from Thomson/Dialog • Patents/Applications categorized and indexed manually • Descriptive title • Use/Advantage Statements • Field searchable 12 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  13. Derwent Use/Advantage Statements Descriptive Title Use Statement Advantage Statement Courtesy of Ron Kaminecki, Dialog Corporation 13 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  14. ClearForest • Text mining technology • Tagging engine • Extraction modules • Analytics • Has patent module • Extracts problem solved terms & phrases • Approach • Rule-based with tags (regular expressions and proprietary code) • Domain area lists • Document structure 14 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  15. ClearForest Courtesy of Michael, ClearForest Corporation 15 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  16. PatentCafe • Online patent search tool • Primary search tool • Latent Semantic Analysis • Secondary search tool • Heuristic & Advanced Boolean • Find related problems when using concept query • Do concept search across 12 million patents 16 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  17. Sample PatentCafe Concept Search • Concept Search: Search using the claims of a Company A ink jet patent (nozzle designed to constrain dispersal pattern of ink for high resolution printing) • Return: a large body of art in fire extinguisher patents (nozzle constraining extinguishant for managing fires from a distance). In both cases, the nozzle geometry and material viscosity were similar. Courtesy of Andy Gibb, PatentCafe 17 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  18. Invention Machine Goldfire InnovatorTM • “Speeds process of innovation” • Uses natural language processing and computational linguistics • Breaks each sentence down into semantic components and stores them in a searchable knowledgebase • Search knowledge base using semantic components • Most advanced in extracting problem solved concepts 18 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  19. Invention Machine Goldfire: Semantic Relationships “The actuator raises the door, it comprises a diaphragm and hydraulic fluid, but a fluid leak can result in abrasion and failure of the actuator.” raises Courtesy of Jeff Boehm, Invention Machine Corporation actuator door Subject Action Object comprises diaphragm, hydraulic fluid actuator Whole Consists of Parts results in actuator abrasion, actuator failure fluid leak Cause Produces Effects 19 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  20. Accelovation • Market Discovery Tool • Technology started at MIT Media Lab • Crawls deep web and other content looking for mention of needs or solutions1 • 1.7 million “solution statements” • 1.0 million “needs statements” • Uses text analytics to • Match needs of exiting markets with new technical solutions • Match existing technology solutions (benefits) with the needs of new markets • Not problem solved approach but analogous in concept 20 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  21. Accelovation Concept • Organization A has a need for a way to solve a particular problem in their market • Organization B has a technical solution that would benefit Organization A • Company A initiates a search against the repository of needs and solutions statements found in Accelovation’s web search • The software makes the match between Organization A’s need and Organization B’s solution (benefit) 21 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  22. Summary & Conclusions • A patent database searchable by problem solved would enable a much more efficient R&D process • The task is not easy, but there are several organizations working in the area using different approaches • Invention Machine comes closest to providing this service in the patent realm • Accelovation sells an analogues service in the market discovery realm that could be used with patents 22 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

  23. Dialog: http://www.dialog.com/ ClearForest: http://www.clearforest.com PatentCafe: http://www.patentcafe.com/ Invention Machine: http://www.invention-machine.com/ Accelovaion: http://www.accelovation.com/ References 1Seth Grimes, Intelligent Enterprise, May 17, 2007 http://www.intelligententerprise.com/blog/archives/2007 (c) 2007 - DJP Information Consulting Services, LLC

  24. Contact Information • Dr. Daniel J. Phelps • DJP Information Consulting Services, LLC. • DJP.Info.CS@frontiernet.net 24 (c) 2007 - DJP Information Consulting Services, LLC (c) 2007 - DJP Information Consulting Services, LLC

More Related