Automated patent document summarization for R&D intellectual property management

Amy J.C. Trappey*, Charles V. Trappey, Burgess H.S. Kao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In an era of rapid information expansion, people encounter huge amounts of intellectual property (IP) such as patents in digital format. These documents are usually too numerous to be fully utilized in R&D for new product designs. Therefore, efficient and effective ways of acquiring, organizing and presenting IPs (e.g., patent documents) have become very important for enterprises. In this paper, we propose a patent document summarization System using an integrated approach of key-phrase recognition and significant information density, Significant information density or information mass is calculated based on the summation of key-phrases, their relevant phrases, title phrases, domain-specific phrases, indicator phrases and topic sentences, divided by the total number of phrases in a paragraph or a document. External text mining game, compression ratio and retention ratio are used in system experiment and evaluation. This research enables enterprises to organize knowledge and intellectual assets efficiently and to peruse IP documents effectively.

Original languageEnglish
Title of host publicationProceedings - 2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006
Pages1031-1036
Number of pages6
DOIs
StatePublished - 1 Dec 2006
Event2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006 - Nanjing, China
Duration: 3 May 20065 May 2006

Publication series

NameProceedings - 2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006

Conference

Conference2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006
CountryChina
CityNanjing
Period3/05/065/05/06

Keywords

  • Document summarization
  • Information density
  • Intellectual property
  • Text mining

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  • Cite this

    Trappey, A. J. C., Trappey, C. V., & Kao, B. H. S. (2006). Automated patent document summarization for R&D intellectual property management. In Proceedings - 2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006 (pp. 1031-1036). [4019217] (Proceedings - 2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006). https://doi.org/10.1109/CSCWD.2006.253004