1.中国联合网络通信有限公司研究院,北京 100176
2.下一代互联网宽带业务应用国家工程研究中心,北京 100048
王施霁(1993- ),女,中国联合网络通信有限公司研究院工程师,主要研究方向为智能体互联网、算网融合、算力标识、服务语义路由和标准化。
马力俊(1990- ),女,中国联合网络通信有限公司研究院高级工程师,主要研究方向为智能体互联网体系、算力网络创新架构与全域资源编排调度优化和开发。
王立文(1984- ),男,博士,中国联合网络通信有限公司研究院高级工程师,主要研究方向为云网技术等。
张岩(1983- ),男,博士,中国联合网络通信有限公司研究院正高级工程师,主要研究方向为算力网络、云网融合、未来网络体系架构等。
曹畅(1984- ),男,博士,中国联合网络通信有限公司研究院正高级工程师,主要研究方向为下一代互联网、算力网络等。
唐雄燕(1967- ),男,博士,中国联合网络通信有限公司研究院正高级工程师,主要研究方向为宽带通信、下一代互联网、算力网络等。
收稿:2026-02-27,
修回:2026-04-21,
录用:2026-05-25,
网络首发:2026-07-21,
纸质出版:2026-06-20
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王施霁,马力俊,王立文等.智能体互联网服务语义标识和路由技术研究[J].电信科学,2026,42(06):36-51.
Wang Shiji,Ma Lijun,Wang Liwen,et al.Research on service semantic identification and routing technology for Internet of agents[J].Telecommunications Science,2026,42(06):36-51.
王施霁,马力俊,王立文等.智能体互联网服务语义标识和路由技术研究[J].电信科学,2026,42(06):36-51. DOI: 10.11959/j.issn.1000-0801.DXKX260126.
Wang Shiji,Ma Lijun,Wang Liwen,et al.Research on service semantic identification and routing technology for Internet of agents[J].Telecommunications Science,2026,42(06):36-51. DOI: 10.11959/j.issn.1000-0801.DXKX260126.
随着人工智能与网络技术的深度融合,智能体互联网成为下一代互联网演进的重要方向。传统互联网采用以“位置寻址”为核心的连接范式,难以满足智能体互联网“业务驱动、服务即连接”的需求。系统阐述了智能体互联网中的服务语义路由技术体系、范式演进、核心协同需求及传统路由技术的局限性,明确语义路由是实现从“服务需求”到“资源匹配”的关键,详细分析了基于标签匹配与柔性适配的模糊搜索、“服务-域名”精准命名域名系统(domain name system,DNS)、基于业务面网络IP的任播标识和路由、基于应用层统一资源定位符(uniform resource locator,URL)的服务语义标识和路由这4种核心语义路由机制在智能体互联网中的解决方案,总结和对比了各个方案的技术特征,为下一步研究提供重要参考。
With the deep integration of artificial intelligence and network technologies
the Internet of agents has become an important direction for the evolution of the next-generation Internet. The connection paradigm of the traditional Internet centered on “location addressing” can hardly meet the demands of the Internet of agents for “business-driven and service-as-connection”. The service semantic routing technology system
paradigm evolution
core collaboration requirements in the Internet of agents
and the limitations of traditional routing technologies were systematically elucidated. It was clarified that semantic routing was the key to realize the transformation from “service demand” to “resource matching”. The solutions for four core semantic routing mechanisms in the Internet of agents
namely fuzzy search based on tag matching and flexible adaptation
precision-named DNS (domain name system) for “service-domain name” mapping
Anycast identification and routing based on IP of the business plane network
and URL (uniform resource locator) semantic routing with application-layer semantic encapsulation were analyzed in depth. Finally
the technical characteristics of each solution were summarized and compared
providing an important reference for subsequent research.
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