知识图谱在媒体资产管理中的应用  

Application of Knowledge Graph in Media Asset Management

作　　者：于红雪 赵锋 宾小林 YU Hongxue;ZHAO Feng;BIN Xiaolin(The 3rd Institute of China Electronics Technology Group Corporation,Beijing 100016,China)

机构地区：[1]中国电子科技集团公司第三研究所,北京100016

出　　处：《电视技术》2023年第6期147-151,共5页Video Engineering

摘　　要：传统的媒体资产管理系统面临着内容关联性、语义理解和智能化搜索等挑战。知识图谱作为一种语义表示和关联数据的新兴技术,正在媒体资产管理领域得到初步应用。基于此,从媒体内容智能标注、个性化推荐、工作流优化等方面探析知识图谱与媒体资产相结合的方式,以实现更加智能、高效和个性化的媒体资产管理,提升媒体行业的生产力和用户体验。Traditional media asset management systems face challenges such as content relevance,semantic understanding,and intelligent search.Knowledge graph,as an emerging technology for semantic representation and linked data,is being preliminarily applied in the field of media asset management.This article aims to explore the integration of knowledge graph and media asset management in aspects such as intelligent annotation of media content,personalized recommendations,and workflow optimization.The goal is to achieve more intelligent,efficient,and personalized media asset management,thereby enhancing productivity and user experience in themedia industry.

关 键 词：知识图谱 媒体资产 语义分析 智能推荐 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]