題目：Research by trial and error can be very costly: the aid of TRIZ and semantic TRIZ
主講人：Jose Miguel Vicente Gomila副教授（瓦倫西亞理工大學）
時間：2015年5月20日14:00-16:00
地點：主樓240金融實驗室
主講人簡介：
Jose M Vicente Gomila博士，西班牙瓦倫西亞理工大學工程項目學部副教授。Jose副教授具有優秀的工程師背景，從1995年開始學習TRIZ理論，1997年翻譯Altshuller教授有關TRIZ理論的書籍，并獲得Altshuller教授親筆題寫的賀信，1998年與人合作創建創新咨詢公司triz XXI。從1997年開始，Jose博士開始在瓦倫西亞理工大學從事教學工作，并擔任西班牙、墨西哥、哥倫比亞、巴西和智利等國的TRIZ培訓講師。Jose博士擁有MATRIZ頒發的TRIZ四級證書，并致力于將TRIZ理論應用于不同的頂級公司開展應用實踐。Jose博士的主要學術貢獻是將TRIZ理論與語義分析相結合，提出語義TRIZ方法，通過提取SAO語義結構開展技術挖掘和技術預測研究，并發表多篇高水平學術論文。
內容簡介：
In 2000 the title above was my attempt to discuss about the need of having a systemic view of the field of research to recognize some patterns in the research field that could be familiar in other fields, beyond the traditional way of doing research by trial and error. The article published in the electronic magazine TRIZ Journal, showed that recognizing the pattern of the problem could help to find new ideas instead of trying different ideas at random despite the systematic way of doing the trials. By that time, semantic TRIZ did not exist yet.
In the last GTM 2014 in Leiden, Netherlands, I stressed again the need to have a systemic point of view to better understand how a technology may evolve, how it is related to other technologies and why these interrelationships can affect its own evolution as a system. In this regard, the interaction between Tech Mining and semantic TRIZ can help to see the relevance of the different components, their interactions, their functions and their relative contribution as components into other technologies. The companies behind these components may be cooperating or may have a good opportunity to cooperate due to their ‘involvement’ either in one common technological system, the obvious knowledge, or in one component shared by different technologies (different keywords, experts, domains, etc.)
The logic behind this systemic view is based on the functions among the elements of a system, and the interpretation of such functions or interactions among the sentences of a written text is what semantic TRIZ is all about. The concept of linking semantically and syntactically the words of a sentence as our brain does when reading, should allow to understand logical links and therefore real meaning for finding new relations and possible technological partners, as Prof. Xuefeng Wang aims to work jointly with us.
（主辦：管理工程系）
