详细信息

知识产权公共服务数据语义组织模式研究    

Research on Semantic Organization Model of Intellectual Property Public Service Data

文献类型:期刊文献

中文题名:知识产权公共服务数据语义组织模式研究

英文题名:Research on Semantic Organization Model of Intellectual Property Public Service Data

作者:李楠[1];张慧[1];赵阳[1];汪波[1]

机构:[1]华东理工大学科技信息研究所,上海200237

年份:2023

卷号:43

期号:2

起止页码:20

中文期刊名:现代情报

外文期刊名:Journal of Modern Information

收录:CSTPCD;;国家哲学社会科学学术期刊数据库;CSSCI:【CSSCI2023_2024】;

基金:中央高校基本科研业务费专项资金资助项目“高校专利导航基地建设策略研究”(项目编号:JKR02222601);“高校图书馆专利信息服务能力评价体系与提升策略研究”(项目编号:JKR012022003)。

语种:中文

中文关键词:知识产权;数据资源;公共服务;数据治理;服务场景;语义组织;应用模式

外文关键词:intellectual property;data resources;public services;data governance;services scenarios;semantic organization;application pattern

摘要:[目的/意义]为知识产权数据资源的有效治理和运用提供支撑解决方案,推进知识产权领域数字化发展和信息公共服务体系升级。[方法/过程]基于对现有知识产权公共服务平台的系统调研,剖析当前知识产权公共服务数据资源的组织与利用现状;在对数据基本构成及场景支撑进行分析的基础上,进一步明确知识产权公共服务数据的语义组织内涵及其实现路径,并通过实例展示其应用效果。[结果/结论]面向公共服务场景设计从原始数据集到语义增强数据集的语义组织框架,归纳实现知识产权公共服务数据语义组织的关键技术及实践原则,形成支撑多服务场景的细粒度数据语义组织与应用模式。
[Purpose/Significance]To provide the solution for the effective governance and application of intellectual property data resources, and promote the digital development of intellectual property and the upgrading of information public service system.[Method/Process]Based on the systematic investigation of the existing intellectual property public service platforms, the current situation of the organization and utilization of intellectual property public service data resources was analyzed.On the basis of the analysis of the basic structure and scene support of the data, the semantic organization connotation of the intellectual property public service data and its implementation path were further clarified, and the application effect was demonstrated by examples.[Results/Conclusion]The semantic organization framework from original data set to semantic enhanced data set is designed for public service scenarios, and the core technologies and practical principles for realizing semantic organization of intellectual property public service data are summarized to form a fine-grained data semantic organization and application pattern supporting multi-service scenarios.

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