Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.eswa.2006.10.015
Title: Grouping of TRIZ Inventive Principles to facilitate automatic patent classification
Authors: Cong, H.
Tong, L.H. 
Keywords: Automatic classification
Inventive Principles
Patent document
Similarity
TRIZ
Issue Date: Jan-2008
Source: Cong, H.,Tong, L.H. (2008-01). Grouping of TRIZ Inventive Principles to facilitate automatic patent classification. Expert Systems with Applications 34 (1) : 788-795. ScholarBank@NUS Repository. https://doi.org/10.1016/j.eswa.2006.10.015
Abstract: Automatic patent classification facilitates searching for previous patent documents. For TRIZ users, they would like to search for patents based on the solutions (TRIZ Inventive Principles) to the Contradictions addressed in the patents, which is different from traditional searching for prior arts based on the application fields of the inventions. For this purpose, a TRIZ-based patent classification expert system is needed. To facilitate automatic classification of patent documents according to Inventive Principles (IPs) for TRIZ users, we analyze the original 40 IPs proposed by Altshuller. Seven IPs are defined as Obscure IPs, the other 33 as Distinct IPs. Furthermore, two kinds of similarity among the Distinct IPs are defined: text similarity and meaning similarity. Then the 40 IPs are grouped into 22 new classes. Automatic classification based on 674 patent documents associated with these 22 new classes is tested and analyzed, with two issues of multi-label classification and class imbalance addressed. © 2006 Elsevier Ltd. All rights reserved.
Source Title: Expert Systems with Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/60421
ISSN: 09574174
DOI: 10.1016/j.eswa.2006.10.015
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

64
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

39
checked on Nov 2, 2017

Page view(s)

42
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.