北京邮电大学无线网络知识图谱数据集

网络AI现阶段以数据驱动为主，知识驱动的AI是网络真正实现智能内生的重要途径，从感知智能向认知智能的升级过程中，构建大规模高质量知识图谱是一个重要环节。北京邮电大学无线网络知识图谱数据定义了无线网络的网络拓扑图谱，故障分布图谱和用户请求图谱，为网络知识数据的应用提供了基础。其中网络拓扑图谱包括节点信息、链路信息和连接情况；故障分布图谱包括链路的故障概率和预计修复时长；用户请求图谱包括用户请求包的信息以及其经过的路径。主要记录了节点、链路和请求包及其之间关联关系的数据，数据量727 KB (744,568 字节)

Current network AI is primarily data-driven. Knowledge-driven AI serves as a critical approach to truly realizing intelligent endogenous capabilities in networks. During the upgrade process from perceptual intelligence to cognitive intelligence, constructing large-scale high-quality knowledge graphs constitutes an important step. The Wireless Network Knowledge Graph Dataset from Beijing University of Posts and Telecommunications defines three types of graphs for wireless networks: network topology graph, fault distribution graph and user request graph, which provides a foundation for the application of network knowledge data. Specifically, the network topology graph includes node information, link information and connection status; the fault distribution graph covers the fault probability of links and the estimated repair time; the user request graph includes information of user request packets and the paths they traverse. This dataset mainly records data about nodes, links, request packets and their interrelationships, with a size of 727 KB (744,568 bytes).

搜集汇总

背景与挑战

背景概述

北京邮电大学无线网络知识图谱数据集是一个包含网络拓扑、故障分布和用户请求图谱的数据集，数据量881.66KB，包含28个文件。该数据集由丰雷和李文璟创建，旨在为网络知识数据的应用提供基础支持。