Applying BPANN and hierarchical ontology to develop a methodology for binary knowledge document classification and content analysis

Tzu An Chiang*, Chun Yi Wu, Amy J.C. Trappey, Charles V. Trappey

*Corresponding author for this work

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

2 Scopus citations

Abstract

Nowadays many companies rely on patent engineers to search patent documents and offer recommendation and advice to R&D engineers. Given the great number of patent documents, new means to effectively and efficiently identify and manage the technology-specific patent documents are required. This research applies back-propagation artificial neural network (BPANN), a hierarchical ontology, and Normalized term frequency (NTF) method for binary document classification and content analysis. This approach helps to minimize inappropriate patent document classification. Hence, the approach reduces the effort to search and select patents for analysis. Finally, this paper use the design of exposure machines as a case study to illustrate and verify the efficacy of the approach proposed in this paper.

Original languageEnglish
Title of host publicationProceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010
Pages263-268
Number of pages6
DOIs
StatePublished - 1 Dec 2010
Event2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010 - Shanghai, China
Duration: 14 Apr 201016 Apr 2010

Publication series

NameProceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010

Conference

Conference2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010
CountryChina
CityShanghai
Period14/04/1016/04/10

Keywords

  • BPANN
  • Document classification
  • Hierarchical ontology
  • NTF

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    Chiang, T. A., Wu, C. Y., Trappey, A. J. C., & Trappey, C. V. (2010). Applying BPANN and hierarchical ontology to develop a methodology for binary knowledge document classification and content analysis. In Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010 (pp. 263-268). [5471966] (Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010). https://doi.org/10.1109/CSCWD.2010.5471966