政府网站信息资源的多维语义知识融合结构体系及策略研究

发布时间：2019-01-01 20:31

【摘要】：[目的/意义]知识融合可调节政府网站简单罗列信息资源的服务现状与用户对完整知识需求之间的矛盾,从"属性级—概念级—决策级"多维语义知识融合角度揭示政府网站信息资源内在"知识网络生成—细粒度概念合并—知识集成与关联"的隐性关系,为用户提供系统的知识地图。[方法/过程]阐明政府网站信息资源的内涵并给出多维语义知识融合概念模型,构建了多维语义视角下政府网站信息资源知识融合结构体系,为实现结构体系运行的可行性,针对知识融合预处理对象、融合过程和融合结果 3个关键部位分别给予领域本体知识库构建、多维语义融合规则与算法、解知识空间服务模型等策略。[结果/结论]设计的政府网站信息资源多维语义知识融合的概念模型、结构体系及解知识空间服务模型为后续研究提供参考。[局限]政府网站信息资源多维语义知识融合结构体系的实际运行效果还有待实证研究。
[Abstract]:[purpose / meaning] knowledge fusion can adjust the contradiction between the service status of the government website which simply lists the information resources and the users' need for complete knowledge. From the perspective of multidimensional semantic knowledge fusion of attribute level, concept level and decision level, the implicit relationship of "knowledge network generation, fine-grained concept merging, knowledge integration and association" is revealed in the information resources of government website. Provide users with a knowledge map of the system. [method / process] this paper clarifies the connotation of government website information resources and gives the concept model of multi-dimensional semantic knowledge fusion, and constructs the structure system of government website information resources knowledge fusion under multidimensional semantic perspective, in order to realize the feasibility of running the structure system. Three key parts of knowledge fusion preprocessing object, fusion process and fusion result are designed to construct domain ontology knowledge base, multi-dimensional semantic fusion rules and algorithms, solution of knowledge space service model and so on. [results / conclusion] the conceptual model, structure system and solution knowledge space service model of multi-dimensional semantic knowledge fusion of government website information resources are designed to provide reference for further research. The practical effect of multi-dimensional semantic knowledge fusion system of government website information resources needs to be studied empirically.
【作者单位】：吉林大学管理学院;
【基金】：吉林大学研究生创新基金资助项目“大数据环境下政府网站原生数字政务信息长期可存取研究”的成果,项目编号:2016048
【分类号】：G254

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