人物本体词表之间的互操作及分类体系构建

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英文篇名：Interoperability between Ontological Word Lists of Persons and Construction of Classification Systems 作者：贾君枝 ; 崔西燕 英文作者：Jia Junzhi;Cui Xiyan;School of Information Resource Management, Renmin University of China;School of Economics and Management, Shanxi University; 关键词：本体词表 ; 映射 ; 相似度计算 ; 分类体系 英文关键词：ontology vocabulary;;mapping;;similarity calculation;;classification system 中文刊名：QBXB 英文刊名：Journal of the China Society for Scientific and Technical Information 机构：中国人民大学信息资源管理学院;山西大学经济与管理学院; 出版日期：2019-07-24 出版单位：情报学报 年：2019 期：v.38 基金：国家社会科学基金项目“数据开放环境中的词表重用问题研究”(19BTQ023) 语种：中文; 页：QBXB201907008 页数：11 CN：07 ISSN：11-2257/G3 分类号：69-79

摘要

随着人物本体词表的不断构建,用户查询并使用合适的本体词表存在一定困难。因此,通过对人物本体词表的属性进行重新聚合,以人物的自然属性以及社会属性为基础构建以人为核心的多维人物属性清单,可为用户使用本体词表提供清晰的分类导航。本体映射是实现目前本体词表间语义桥梁搭建的最为广泛和有效的技术。本文采用字符串相似度算法进行基于属性的名称、定义域、值域、上位属性相似度计算,同时对具有映射关系的本体词表属性进行总结归纳。最终,分析得出关于人的关系、地点、联系方式、事件等11种不同类型的属性分类体系,实现对多个本体词表的聚合。
        With the evolving construction of human ontology vocabularies, it is difficult for users to query and use the appropriate ontology vocabulary. Therefore, by reaggregating the attributes of human ontology vocabularies based on natural and social attributes of the characters, a human-centered multidimensional list of character attributes can be constructed to provide users with classified navigation for using the ontology vocabulary. Ontology mapping is the most extensive and effective technique for constructing semantic bridges between ontology vocabularies. In this paper, the string similarity algorithm is used to calculate the similarity of attributes based on attribute name, domain, value domain, and upper attribute. At the same time, the ontology vocabulary attributes with mapping relationships are summarized. Lastly, eleven different types of attribute classification systems are obtained, such as human relationships, locations, contact methods, and events,and the aggregation of multiple ontology vocabularies is realized.

引文

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