融合知识图谱的天气预报节目智能生成技术研究
Research on Intelligent Generation Technology of Weather Forecast Program Based on Fusion Knowledge Graph
闫燕勤 1林强 1钱永江 2王娇娇1
作者信息
- 1. 浙江传媒学院,浙江 310018
- 2. 浙江广播电视集团,浙江 310012
- 折叠
摘要
本文利用人工智能、大数据、知识图谱等新兴技术,构建气象领域知识图谱,设计天气预报生成模板和算法,融合知识图谱实现文案自动生成;构建3D动画场景模型,进行不同场景搭建和录制,生成天气预报3D动画视频,在云平台上搭建天气预报自动生成与管理系统,完成天气预报节目的智能化生成.
Abstract
This paper uses emerging technologies such as artificial intelligence,big data,and knowledge graph to construct knowledge graph in the meteorological field,design weather forecast generation template and algorithm,integrate knowledge graph to realize automatic text generation,construct 3D animation scene models,build and record different scenes,generate 3D animation videos of weather forecasts,build automatic weather forecast generation and management system on the cloud platform,and complete intelligent generation of weather forecasts program.
关键词
天气预报/领域知识图谱/3D动画/智能生成Key words
Weather forecast/Domain knowledge graph/3D animation/Intelligent generation引用本文复制引用
基金项目
浙江省教育厅科研项目(Y202146864)
浙江省影视媒体技术研究重点实验室2020年度开放课题(62002316)
浙江传媒学院2022年度青年教师科研提升计划项目(ZC22XJ014)
出版年
2024
NETL
NSTL
万方数据