基于知识图谱的冬奥赛事气象服务文本生成方法研究

Text Generation Method of Meteorological Service forWinter Olympics Events Based on Knowledge Graph

气象服务文本是为赛事顺利举行及赛事期间的各项活动提供必要的气象保障,是组委会、裁判、各代表队的工作人员获取气象信息开展相关工作的载体。现有气象文本生产需要人工编写审核,效率不高。相比之下,全自动文本生成更加依赖于模板和固定的形式。针对以上问题,结合自然语言处理技术提出基于知识图谱的冬奥赛事气象服务文本生成方法。重点从历史赛事气象服务文本中进行内容分析和特征提取,利用气象数据和历史赛事信息构建高山滑雪赛事知识图谱。该方法根据实时气象数据和文稿模板生成天气描述文本,然后基于知识图谱查询推理技术得到赛事影响结果并生成相应文本。实验结果表明:气象服务文本的自动生成结果具有较好的准确性和可读性,有助于冬奥赛事的顺利推进,该文本生成方法面向特定领域也具有较好的应用前景。

The meteorological service texts is a window for the organizing committee,judges,and staff of the teams to obtain meteorological information about their related work,providing the necessary meteorological protection for the smooth holding of the event and the activities during the event.The existing text production requires manual writing and review,which is not efficient,while the fully automated text generation mainly relies on templates and has a fixed form.To address these problems,a knowledge graph-based texts generation method of Winter Olympics event meteorological services was proposed in combination with natural language processing technology.Focusing on content analysis and feature extraction from historical event meteorological service texts,the knowledge graph of alpine skiing events was constructed using meteorological data and historical event information.The method generated meteorological description texts based on real-time meteorological data and manuscript templates,and then obtained event impact results and generates corresponding texts based on knowledge graph query inference techniques.The experimental results show that the automatic generation of meteorological service text have good accuracy and readability,which helps the smooth promotion of the Winter Olympic events,and the text generation method has good application prospects for the special area.