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作 者:黄婕 安小米[1,2,4] 邝苗苗[1] 吴菁 Huang Jie;An Xiaomi;Kuang Miaomiao;Wu Jing(School of Information Resource Management,Renmin University of China,Beijing,100872;Smart City Research Center,Renmin University of China,Beijing,100872;Center for Technology in Government,University at Albany-State University of New York,Albany,12203;Key Laboratory of Data Engineering and Knowledge Engineering,Beijing,100872;Shandong Institute of Standardization,Jinan,250013)
机构地区:[1]中国人民大学信息资源管理学院,北京100872 [2]中国人民大学智慧城市研究中心,北京100872 [3]纽约州立大学奥尔巴尼分校政府技术中心,奥尔巴尼12203 [4]数据工程与知识工程教育部重点实验室,北京100872 [5]山东省标准化研究院,济南250013
出 处:《信息资源管理学报》2024年第3期56-68,135,共14页Journal of Information Resources Management
基 金:国家重点研发计划“城市数据利用国际标准研制及应用示范”(2022YFF0610004)的研究成果之一。
摘 要:运用ISO 704:2022的概念构建原则和方法,以国际标准中的语义互操作性定义为研究对象,识别出语义互操作性的核心概念、特征及关系,构建基于标准化视角的语义互操作性概念体系,从而揭示语义互操作性的能力特征和功能要求。采用案例分析法,通过对智慧城市领域相关的国际标准进行标准文本的语义互操作性特征映射,发现智慧城市领域语义互操作性标准研制的缺口,可为智慧城市领域语义互操作性标准选用和研制提供方向指引,也验证了该概念体系的实用性。研究表明,该体系对于提升人工智能场景下数据、信息、知识的共享和交换效率,促进数据、信息、知识的关联、融合和可解释,以及多维度、多场景和多方面语义互操作标准化协同具有指导意义。This paper adopts ISO 704:2022 terminology work—principles and methods,regards the definitions of“semantic interoperability”in international standards as the research objects,and then identifies the core concepts,characteristic and their relationships of“semantic interoperability”.It constructs a concept system of“semantic interoperability”based on international standards,which reveals the capability characteristics and functional requirements of“semantic interoperability”.Then,this paper uses case analysis method to map the“semantic interoperability”characteristics of relevant international standards in the field of smart cities,to analyse gaps in the development of semantic interoperability standards and to provide guidance for selection and development of semantic interoperability standards in smart cities,which helps verify the practicality of this concept system.The research has shown that this system has significance for improving efficiency of data,information,and knowledge sharing and exchange in artificial intelligence scenarios,for promoting data,information,and knowledge association,fusion,and interpretability,and for promoting standardization collaboration on multi-dimensional,multi-scenario,and multi-dimensional semantic interoperability.
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