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1.数据空间技术与系统全国重点实验室,北京 100195
2.北京大学软件与微电子学院,北京 102600
Accepted:07 January 2026,
Online First:23 April 2026,
Published:15 July 2026
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姜海鸥,胡子逸,刘冉等.一种面向数据场景化使用的跨数据空间搜索系统[J].大数据,2026,12(04):45-60.
Jiang Haiou,Hu Ziyi,Liu Ran,et al.A cross-data-space search system for scenario-based data usage[J].BIG DATA RESEARCH,2026,12(04):45-60.
姜海鸥,胡子逸,刘冉等.一种面向数据场景化使用的跨数据空间搜索系统[J].大数据,2026,12(04):45-60. DOI: 10.11959/j.issn.2096-0271.2026018.
Jiang Haiou,Hu Ziyi,Liu Ran,et al.A cross-data-space search system for scenario-based data usage[J].BIG DATA RESEARCH,2026,12(04):45-60. DOI: 10.11959/j.issn.2096-0271.2026018.
随着国家数据要素相关政策的推进,在分散于各行业、各领域的数据空间之间,实现数据资源高效发现和便捷使用,已成为数据要素有效流通的关键。设计了一种面向数据场景化使用的数据空间搜索系统:针对各个数据空间“数据不出域、不汇聚”的安全要求,构建了基于数字对象架构(digital object architecture,DOA)的分布式搜索框架;基于数据场景化使用所形成的数据语用关系,提出融合查询相似度与数据语用关系的数字对象排序算法——DO-Rank,为上层应用提供了跨数据空间数据资源搜索发现的能力。实验结果表明,该跨空间搜索系统在不汇聚数据的情况下,其精确率、召回率、归一化折损累计增益(normalized discounted cumulative gain,nDCG)等指标接近采用数据集中汇聚的检索方法。
With the advancement of national policies on data factors
efficient discovery and convenient utilization of data resources across data spaces scattered in various industries and fields have become a key for the effective circulation of data elements. A data space search system oriented to scenario-based data usage was designed and implemented. In response to the security requirements that data shall not leave its domain or be aggregated in each
a distributed search framework based on the digital object architecture (DOA) was constructed. Based on the pragmatic data relationships abstracted from the scenario-based data usage
a digital object ranking algorithm
named DO-Rank was proposed. It considered both query similarity and data pragmatic relationships. It provided upper-layer applications with the capability to search and discover data resources across different data spaces. Experiments results demonstrated that without data aggregation
the system achieved performance indicators including precision
recall and normalized discounted cumulative gain (nDCG) comparable to those of centralized data retrieval methods.
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