Computer-Aided Patent Analysis: finding invention peculiarities

  • Gaetano Cascini
  • Davide Russo
  • Manuel Zini
Part of the IFIP The International Federation for Information Processing book series (IFIPAICT, volume 250)


The application of standard Information Extraction techniques to Patent Analysis has several limitations partially due to the difference existing between patents and web pages, which are the object of the biggest majority of information search. Indeed, while in other fields customized processing techniques have been developed, the number of studies fully dedicated to patent text mining is very limited and the tools available on the market still require a relevant human workload. This paper presents an algorithm to identify the peculiarities of an invention through an automatic functional analysis of the patent text; as a result a ranked list of components and functions is provided as well as a selection of meaningful paragraphs disclosing the details of the invention. An example related to laser irradiation devices for medical treatment clarifies its basic steps.


Optical Fiber European Patent Office Lead Wire Patent Analysis Protection Tube 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Gaetano Cascini
    • 1
  • Davide Russo
    • 1
  • Manuel Zini
    • 2
  1. 1.Department of Mechanics and Industrial Technologies, Methods and Tools for Innovation LabUniversity of FlorenceFlorenceItaly
  2. 2.DrWolf srlFlorenceItaly

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