检索结果-内蒙古大学图书馆

Investigating Domain knowledge graph knowledge Reasoning and Assessing Quality Using knowledge Representation Learning and knowledge Reasoning algorithms

引用

JOURNAL OF INFORMATION & knowledge MANAGEMENT 2025年第1期24卷

作者： Cao, Ying Ningbo Polytech Sch Artificial Intelligence Ningbo 315800 Zhejiang Peoples R China

Domain knowledge graphs are becoming increasingly significant in a multitude of sectors, as they collate distinctive data from a plethora of disciplines. However, in some domains, generic knowledge representation is limited, resulting in problems like duplication and knowledge loss. To solve the above issues, the study first builds a knowledge Representation Learning model for training and then constructs a Domain knowledge graph inference algorithm based on knowledge Representation Learning for knowledge inference and quality evaluation. The results indicated that the effectiveness of the knowledge-inference-raised method was the best in datasets of different sizes, with the average accuracy, Hits@1, Hits@3 and Hits@10 of 0.906, 0.914, 0.942 and 0.948, respectively. In the results of the link prediction task, the study method had a poor performance for only one relation, with an average accuracy rate of 0.675. In the application results of knowledge graph quality assessment, the interpretability and data fusion ability of both Domain knowledge graphs were strong, with the accuracy indexes exceeding 0.95, and the various indexes of simplicity and completeness exceeding 0.88. The above results indicate that our research method is effective in filling in the missing knowledge through knowledge reasoning and ensures data reliability.

关键词： knowledge graph inference algorithm knowledge representation learning link prediction quality evaluation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：