多维本体驱动下供电服务专业多维知识标签体系构建方法  

Construction Method of Multi-dimensional Knowledge Label System for Power Supply Service Specialty Driven by Multi-dimensional Ontology

作　　者：李承桓 张莉 何学东 常利建 于喻 LI Chenghuan;ZHANG Li;HE Xuedong;CHANG Lijian;YU Yu(Customer Service Center of State Grid Co.,Ltd.,Tianjin 300304,China;Beijing China Power Information Technology Co.,Ltd.,Beijing 100085,China)

机构地区：[1]国家电网有限公司客户服务中心,天津300304 [2]北京中电普华信息技术有限公司,北京100085

出　　处：《微型电脑应用》2023年第1期49-52,共4页Microcomputer Applications

基　　金：国网客服中心2020年知识库省公司应用功能拓展项目(659931190051)。

摘　　要：为了解决知识标签体系无法满足专业知识学习要求的问题,研究多维本体驱动下供电服务专业多维知识标签体系构建方法。通过构建多语言、多领域、多层次的多维主体空间模型,以其领域知识主体、通用知识主体、动态知识主体为基础构建原始多维标签体系,将原始标签作为导航标签,采用逆文档与词频匹配方法提取标签关键词,获取标签网页文本和丰富的标签语义,通过标签间上下位映射关系和等同映射关系筛选相同标签后,融合成新的标签树,构建新的供电服务专业多维知识标签体系。实验结果表明,该方法的标签构建重合度、上下位重合度高,鲁棒性较好,本体特性表现优良,可提高知识标签体系构建水平。In order to solve the problem that the knowledge label system cannot meet the requirements of professional knowledge learning, the construction method of multi-dimensional knowledge label system of power supply service specialty driven by multi-dimensional ontology is studied. By constructing a multi-language, multi-domain and multi-level multi-dimensional subject space model, an original multi-dimensional label system is constructed based on its domain knowledge subject, general knowledge subject and dynamic knowledge subject. The original label is used as the navigation label, and the label keywords are extracted by using the inverse document and word frequency matching method to obtain the label Web text and rich label semantics. After selecting the same tags through the mapping relationship between the upper and lower levels and the equivalent mapping relationship, a new tag tree is integrated to build a new multi-dimensional knowledge tag system of power supply service specialty. The experimental results show that the proposed method has high coincidence degree, high coincidence degree, good robustness and good ontology performance, which can improve the level of knowledge label system construction.

关 键 词：供电服务专业 多维知识 标签体系 构建方法 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]