题目：Research by trial and error can be very costly: the aid of TRIZ and semantic TRIZ
主讲人：Jose Miguel Vicente Gomila副教授（瓦伦西亚理工大学）
时间：2015年5月20日14:00-16:00
地点：主楼240金融实验室
主讲人简介：
Jose M Vicente Gomila博士，西班牙瓦伦西亚理工大学工程项目学部副教授。Jose副教授具有优秀的工程师背景，从1995年开始学习TRIZ理论，1997年翻译Altshuller教授有关TRIZ理论的书籍，并获得Altshuller教授亲笔题写的贺信，1998年与人合作创建创新咨询公司triz XXI。从1997年开始，Jose博士开始在瓦伦西亚理工大学从事教学工作，并担任西班牙、墨西哥、哥伦比亚、巴西和智利等国的TRIZ培训讲师。Jose博士拥有MATRIZ颁发的TRIZ四级证书，并致力于将TRIZ理论应用于不同的顶级公司开展应用实践。Jose博士的主要学术贡献是将TRIZ理论与语义分析相结合，提出语义TRIZ方法，通过提取SAO语义结构开展技术挖掘和技术预测研究，并发表多篇高水平学术论文。
内容简介：
    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.


（主办：管理工程系）