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基于本体的农作物种质资源平台用户模型研究
引用本文:陈丽娜,方沩,潘凯,司海平,曹永生.基于本体的农作物种质资源平台用户模型研究[J].植物遗传资源学报,2015,16(5):927-932.
作者姓名:陈丽娜  方沩  潘凯  司海平  曹永生
作者单位:中国农业科学院作物科学研究所,中国农业科学院,中国农业科学院作物科学研究所,河南农业大学信息与管理科学学院,中国农业科学院
基金项目:国家农作物种质资源平台
摘    要:针对国家农作物种质资源平台的特点,提出了基于本体的分组分层动态用户模型构建方法。首先建立用户结点,由用户注册信息结合领域本体构建初步的分组用户模型;然后挖掘用户日志扩展、定期更新用户模型;最后利用通用本体WordNet进行同义词、不同语种的语义扩展,进一步优化用户模型。利用开源软件protégé构建了农作物种质资源核心本体,添加个人信息映射构成用户模型,计算用户对资源的兴趣度,并增加了时间因素来表明用户的兴趣随时间发生变化的情况,便于用户模型的动态更新。基于本体的分组分层动态用户模型可以给不同用户提供个性化服务,有利于提高平台的服务质量。

关 键 词:种质资源  个性化服务  本体  用户模型  分组分层
收稿时间:1/7/2015 12:00:00 AM
修稿时间:2/1/2015 12:00:00 AM

User model research of national crop germplasm resources infrastructure based on ontology
Institution:Chinese Academy of Agricultural Sciences,Chinese Academy of Agricultural Sciences,,,Chinese Academy of Agricultural Sciences
Abstract:A method called dynamic multi-group and multi-level based on ontology was proposed to build user model according to national crop germplasm resourcesinfrastructure. A user node was first created, and an initial multi-group user model was built on the basis of user registration information and domain ontology. Then site log was mined to extend and update the user model regularly. Finally synonyms extension and different languages semantic expansion was implemented using common ontology WordNet, so as to further optimize the user model. The core domain ontology of national crop germplasm resources infrastructure was built under the environment of open source software protégé. User information was added to the ontology and formed the initial user model. User interest degree to resources was calculated, and time factor was added to the user model to indicate the interest change of users, so as to dynamically update the user model. The user model of dynamic multi-group and multi-level based on ontology could provide personalized services to different users, and could help improve service quality of national crop germplasm resources infrastructure.
Keywords:germplasm resources  personalized services  ontology  user model  multi-group and multi-level
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