大数据 ›› 2023, Vol. 9 ›› Issue (2): 110-121.doi: 10.11959/j.issn.2096-0271.2023024

• 研究 • 上一篇    下一篇

数据空间基础设施的技术挑战及数联网解决方案

罗超然1,2, 马郓1,2,3, 景翔1,2,4, 黄罡1,2,5   

  1. 1 数据空间技术与系统全国重点实验室,北京 100091
    2 北京大数据先进技术研究院,北京 100091
    3 北京大学人工智能研究院,北京 100871
    4 北京大学软件与微电子学院,北京 102627
    5 北京大学计算机学院,北京 100871
  • 出版日期:2023-03-15 发布日期:2023-03-01
  • 作者简介:罗超然(1990- ),男,博士,北京大数据先进技术研究院助理研究员,主要研究方向为系统软件、数字对象架构、数联网、数据空间
    马郓(1989- ),男,博士,北京大学人工智能研究院助理教授、博士生导师,主要研究方向为Web系统、服务计算、移动计算等
    景翔(1979- ),男,博士,北京大学软件与微电子学院副研究员,中国计算机学会(CCF)会员,主要研究方向为操作系统、分布式计算
    黄罡(1975- ),男,博士,北京大学计算机学院教授、博士生导师,CCF杰出会员,主要研究方向为系统软件、软件自适应、数联网、数据空间
  • 基金资助:
    北京高等学校卓越青年科学家计划项目(BJJWZYJH01201910001004)

Internet of data: a solution for dataspace infrastructure and its technical challenges

Chaoran LUO1,2, Yun MA1,2,3, Xiang JING1,2,4, Gang HUANG1,2,5   

  1. 1 National Key Laboratory of Dataspace Technology and System, Beijing 100091, China
    2 Advanced Institute of Big Data Technology, Beijing 100091, China
    3 Institute of Artificial Intelligence, Peking University, Beijing 100871, China
    4 School of Software and Microelectronics, Peking University, Beijing 102627, China
    5 School of Computer Science, Peking University, Beijing 100871, China
  • Online:2023-03-15 Published:2023-03-01
  • Supported by:
    Beijing Outstanding Young Scientist Program(BJJWZYJH01201910001004)

摘要:

数据空间是网络空间从“以计算为中心”向“以数据为中心”转型的一种新形态,蕴含着变革性重大科技问题和换道超车创新机遇。类似互联网是网络空间的主要基础设施,数据空间也需要“以数据为中心”的新型基础设施,其核心功能是实现数据的一阶实体化。从数据空间的视角出发,分析总结互联网、万维网和数字对象架构等主流技术体系对数据一阶实体化的支持和不足,给出数据空间基础设施的基本内涵与技术挑战。提出基于数据语用原理的数据一阶实体化方法,通过融合数字对象架构、分布式账本和智能合约等技术形成数联网解决方案,支撑互联网规模的数据空间基础设施构造和运行。

关键词: 数据空间基础设施, 数联网, 数字对象架构, 数据语用

Abstract:

Dataspace is the transformation of cyberspace from "computing centric" to "data centric", which contains great technological issues and innovative opportunities.Similar to the internet, which is the main infrastructure of cyberspace, dataspace also needs a new "data-centric" infrastructure, whose core function is to realize the first-class entity of data.From the perspective of dataspace, the supports and shortcomings of mainstream technologies such as the internet, the World Wide Web, and the digital object architecture for the first-class entity of data were analyzed and summarized, and then the basic connotations and technical challenges of dataspace infrastructure were given.Finally, a first-class data substantialization method based on data pragmatics was proposed.Based on this method, a solution called the internet of data by integrating digital object architecture, distributed ledger, smart contract, and other technologies was proposed to support the construction and operation of internetscale dataspace infrastructure.

Key words: infrastructure of dataspace, internet of data, DOA, data pragmatic

中图分类号: 

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