摘要
随着数字经济的发展,工业数据量呈现指数级增长,通用搜索已经难以满足工业场景下对海量多源异构数据的搜索需求。工业标识资源搜索能够对接标识解析各级节点,利用工业标识高效解析搜索对象以及用户信息,能够使用更加丰富的工业价值数据资源,对工业场景展开更加深入和专业的信息挖掘,是将工业数据转化为生产力的有效途径。首先,详细分析了发展工业标识资源搜索的必要性;然后,在此基础上介绍了数据采集、知识构建、数据搜索和标识解析预处理等关键技术;最后,从工业标识资源搜索的应用场景及发展趋势等方面进行了总结和展望。
The amount of industrial data has grown exponentially with the development of the digital economy,and general search has been unable to meet the requirements of searching massive multi-source heterogeneous data in the industrial field.Identification resource search for industrial internet of things can connect to identification resolution nodes,and use identification to obtain object or user information efficiently.It can get much more valuable industrial data,and carry out more in-depth and professional information mining for industrial scenarios.It is an efficient way to transform industrial data to productive forces.First,this paper analyzes the necessity of developing identification resource search for industrial internet of things in detail.Then,it introduces key technologies such as data collection,knowledge construction,data search as well as identification resolution preprocessing.Finally,it gives suggestions on the application scenarios and development trends.
作者
侯聪
霍如
彭开来
黄韬
HOU Cong;HUO Ru;PENG Kailai;HUANG Tao(Purple Mountain Laboratories,Nanjing 210000,China;Information Department,Beijing University of Technology,Beijing 100124,China)
出处
《信息通信技术与政策》
2025年第2期76-80,共5页
Information and Communications Technology and Policy
基金
2020年工业互联网创新发展工程项目(No.TC200A017)。
关键词
工业互联网
标识解析
工业大数据
标识资源搜索
industrial internet of things
identification resolution
industrial big data
identi cation resource search
