Advances In The Application of Computational Linguistics for TRIZ Practice | |
James Todhunter (Invention Machine Corporation, USA), Kiyoshi Shikakura (Invention Machine Japan, Japan) | |
The Fourth TRIZ Symposium in Japan, Held by Japan TRIZ Society on Sept. 10-12, 2008 at Laforet Biwako, Moriyama, Shiga, Japan | |
Introduction by Toru Nakagawa (Osaka Gakuin Univ.), Oct. 26, 2008 | |
[Posted on Sept. 18, 2009] |
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Editor's Note (Toru Nakagawa, Sept. 17, 2009)
This paper was presented at the Fourth TRIZ Symposium in Japan, 2008
, which was held September last year by 'Japan TRIZ Society, NPO'.
Japan TRIZ Society has posted the presentation files (in Japanese) of all the Contributed Presentations in the 'Members-Only' area of its Official Web site (http://www.triz-japan.org/ ) in PDF on July 1, 2009. Files in English are going to be posted in a similar way.
The present site, "TRIZ Home Page in Japan", on the other hand, is going to post several selected Contributed Presentations publicly, under the desire & permisson by the Authors. Presentation slides of them will be posted in PDF, with the policy of updating prohibited, copying and printing permitted.
This page has the following contents in English and in Japanese:
Item English page Japanese page Abstract of the paper (HTML) Abstract Abstract Presentation slides (PDF) (15 slides, 896 KB)
(15 slides 979 KB)
Full paper (PDF) (6 pages, 135 KB)
(7 pages, 318 KB)
Introduction by Nakagawa: An excerpt from "Personal Report of Japan TRIZ Symposium 2008" (HTML)
Nakagawa Introduction --
[1] Abstact
Advances In The Application of Computational Linguistics
for TRIZ PracticeJames Todhunter (Invention Machine Corporation),
Kiyoshi Shikakura (Invention Machine Japan)Abstract
Altshuller’s information fund concept is central to TRIZ. The application of TRIZ relies upon the individual practitioner’s familiarity and facility in leveraging knowledge from the information fund. However in practice, engineers are constrained by local knowledge and the psychological inertia that this parochial view engenders.
Advances in computational linguistics are elevating the practical use of TRIZ to new heights providing knowledge workers with unprecedented access to the knowledge that spurs innovation through TRIZ practice. In this session, the state of the art of computation linguistics for TRIZ and problem solving is presented with examples of this application from industrial experience.
[2] Presentation Slides in PDF
Presentation Slides in English in PDF
(15 slides, 896 KB)
Full Paper in English in PDF
(6 pages, 135 KB)
[3] Introduction to the Presentation (by Nakagawa)
Excerpt from:
Personal Report of The Fourth TRIZ Symposium in Japan, 2008
by Toru Nakagawa (Osaka Gakuin University), Oct. 26, 2008
Posted on Oct. 26, 2008 in "TRIZ Home Page in Japan"
James Todhunter (Invention Machine Corporation., USA) and Kiyoshi Shikakura (Invention Machine Japan) [O-8 #12] gave an Oral presentation with the title of "Advances in the Application of Computational Linguistics for TRIZ Practice". The Authors' Abstract is quoted here first:
Altshuller’s information fund concept is central to TRIZ. The application of TRIZ relies upon the individual practitioner’s familiarity and facility in leveraging knowledge from the information fund. However in practice, engineers are constrained by local knowledge and the psychological inertia that this parochial view engenders. Advances in computational linguistics are elevating the practical use of TRIZ to new heights providing knowledge workers with unprecedented access to the knowledge that spurs innovation through TRIZ practice. In this session, the state of the art of computation linguistics for TRIZ and problem solving is presented with examples of this application from industrial experience.
The following two slides summarize the recent advances in the state of the art of computational linguistics and its use in TRIZ practice. Subject - Action - Object (SAO) model is the basis of semantic analysis developed and utilized in the Invention Machine's software tool, 'Goldfire Innovator'. From technical documents like patents, the SAO structures in every sentence are extracted and accumulated automatically, and then various high-level concepts are further extracted. The scheme of extracting such knowledge is summarized in the slide shown below.
In the presentation the Authors demonstrated the usage of the software by the example of 'Biofuel from marine algae', or, in its essence, how to separate the algae from abundant sea water efficiently. The conclusion is shown in the slide. *** It is difficult to explain this method and software practices here in a short space, I would rather like to post the full paper and the slides later in this Web site.
Top of this page | Abstract | Slides in PDF |
Paper in PDF |
Nakagawa's Introduction | Slides in Japanese |
Paper in Japanese |
Japan TRIZ Symp. 2008 |
Nakagawa's Personal Report of Japan TRIZ Symp. 2008 |
Japanese page |
Last updated on Sept. 18, 2009. Access point: Editor: nakagawa@ogu.ac.jp