赖英旭, 李亚娟, 刘静. 基于本体的水稻育种方法应用知识库构建[J]. 北京工业大学学报, 2019, 45(12): 1181-1191. DOI: 10.11936/bjutxb2018030020
    引用本文: 赖英旭, 李亚娟, 刘静. 基于本体的水稻育种方法应用知识库构建[J]. 北京工业大学学报, 2019, 45(12): 1181-1191. DOI: 10.11936/bjutxb2018030020
    LAI Yingxu, LI Yajuan, LIU Jing. Construction of Ontology-based Rice Breeding Method Knowledge Base[J]. Journal of Beijing University of Technology, 2019, 45(12): 1181-1191. DOI: 10.11936/bjutxb2018030020
    Citation: LAI Yingxu, LI Yajuan, LIU Jing. Construction of Ontology-based Rice Breeding Method Knowledge Base[J]. Journal of Beijing University of Technology, 2019, 45(12): 1181-1191. DOI: 10.11936/bjutxb2018030020

    基于本体的水稻育种方法应用知识库构建

    Construction of Ontology-based Rice Breeding Method Knowledge Base

    • 摘要: 为了改善知识库分析问题的能力,在知识库的本体框架设计中引入功能分析技术,同时结合发明问题解决理论(teoriya resheniya izobreatatelskikh zadatch,TRIZ)的物质-场模型提出了一种基于功能分析的问题模型,通过对用户问题进行功能解析,并依据物质-场模型提供解决问题的参考方法,帮助用户分析并解决现有问题.并且,还提出一种针对水稻育种专利文本的条件随机场(conditional random field,CRF)命名实体识别方法,以完成实例自动化抽取和添加,提高了领域知识库的构建质量和构建效率.实验结果表明,水稻育种方法应用知识库可分析用户问题,给出合理建议.

       

      Abstract: To improve the ability of the analysis of knowledge base, an ontology framework that introduces functional analysis techniques was proposed. In this paper, a functional analysis method was proposed based on the problem model with the material-field model of TRIZ innovation theory. The proposed method can effectively help users to analyze and solve existing problems. A CRF's named entity recognition method was also proposed based on patent text of rice breeding to achieve automatic extraction and addition of instance, which effectively improve the construction quality and efficiency of the domain knowledge base. The experimental results show that the knowledge base of rice breeding can effectively analyze user's problems and give reasonable suggestions.

       

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