面向交通行业的人工智能平台组件接口模型  

Artificial intelligence platform for transportation industry component interface model

作　　者：赵阳 舒陈慈 Zhao Yang;Shu Chenci(Hangzhou Highway and Port Navigation Management Service Center,Hangzhou 310000,China)

机构地区：[1]杭州市公路与港航管理服务中心,杭州310000

出　　处：《现代计算机》2023年第19期106-109,共4页Modern Computer

摘　　要：交通行业涉及的面非常广泛,如何利用人工智能技术提升交通行业智能识别成为当前研究的热点之一。结合知识图谱技术发展趋势,提出了一种面向交通行业的人工智能知识图谱处理设计框架,详细阐述了知识图谱通用组件的系统架构、功能模块、服务接口、数据存储及性能指标,最后通过实验验证了方案的可行性。The transportation industry involves a wide range of areas.How to use artificial intelligence technology to improve the intelligent recognition of the transportation industry has become one of the current research hotspots.Combining with the devel-opment trend of knowledge graph technology,an artificial intelligence knowledge graph processing design framework for transporta-tion industry is proposed,and the system architecture,function modules,service interface,data storage and performance indexes of general components of knowledge graph are described in detail.Finally,the feasibility of the scheme is verified by experiments.

关 键 词：人工智能 知识图谱 服务模型 组件接口 

分 类 号：U495[交通运输工程—交通运输规划与管理]