[目的/意义] 针对技术研发端与产业需求端的信息对接问题,建立一套利用本体技术实现专利技术知识表示和供需信息知识匹配的知识组织模式,以提高供需对接质量、促进专利技术的产业化。[方法/过程] 从专利技术供需对接的内容与流程出发,设计专利技术供需信息匹配框架,对其结构和应用过程进行描述;以变量农作机械领域为例,基于语义TRIZ理论与结构化本体构建方法,分别构建领域本体、专利技术供给本体和专利技术需求本体,设计供需匹配模型,并对专利技术供需信息匹配任务及其知识关联进行形式化描述。[结果/结论] 通过对专利技术供需匹配工作流中的知识单元分析和对供需匹配任务求解过程的理解,综合本体技术、语义TRIZ、知识与任务的形式化表达研究等,提出一种新的利用本体技术求解专利技术供需匹配任务的知识组织思路和方案体系,在方法论研究方面取得一定进展,为下一步具体平台研发提供研究框架与实验原型。
[Purpose/significance] This paper establishes an ontology-based knowledeg organization model of the supply and demand (S&D) information association for patent technology, for promoting the effective matchmaking of patent R&D and industrial demands.[Method/process] From the perspective of the contents and the workflows of patent technology S&D information, this paper designs a patent technology S&D information association framework, and describes its structure and application process. Taking the field of variable agricultural machinery as a case study, based on the theory of semantic TRIZ and structured ontology construction method, this paper builds the domain knowledge ontology, patent technology supply ontology and patent technology demand ontology, and designs the matchmaking-task solving model, and formalization representation of the matchmaking-task solving of patent technology S&D information.[Result/conclusion] This paper proposes a new ontology-based knowledge organization program for the matchmaking-task solving of patent S&D information. The case study validates the feasibility and validity of the integrated application of ontology, semantic TRIZ, formalize-representation method. The results make significant progress in research methodology, and provide a theoretical model and experimental prototype for the further research.
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