首都体育学院学报2024,Vol.36Issue(5) :490-496,580.DOI:10.14036/j.cnki.cn11-4513.2024.05.003

健身运动知识表达与智能查询系统构建

Research on System Construction of Fitness and Exercise Knowledge Representation and Intelligent Query

黄涛 郑嘉昕 王坤 黄杨毅 刘逸婷 夏泽涵 林俊
首都体育学院学报2024,Vol.36Issue(5) :490-496,580.DOI:10.14036/j.cnki.cn11-4513.2024.05.003

健身运动知识表达与智能查询系统构建

Research on System Construction of Fitness and Exercise Knowledge Representation and Intelligent Query

黄涛 1郑嘉昕 2王坤 1黄杨毅 1刘逸婷 1夏泽涵 1林俊3
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作者信息

  • 1. 上海交通大学体育系,上海 200240
  • 2. 上海交通大学体育系,上海 200240;福建师范大学体育科学学院,福建 福州 350117
  • 3. 武夷学院公共体育教学部,福建武夷山 354300
  • 折叠

摘要

科学健身运动在促进大众体质健康、心理健康等方面均发挥着重要作用.在数智时代背景下,健身运动知识的智能查询与精准查询成为延伸全民健身公共服务供给,提高全民健身公共服务质量的重要环节.鉴于此,通过知识图谱与大语言模型的协同互补,探索构建知识图谱驱动的健身运动知识智能查询系统,提出涵盖知识抽取与表达、知识整合与管理、知识查询与问答于一体的实施方案,进而为实现精准化健身运动知识智能查询的研究与应用提供参考.

Abstract

Scientific exercise and fitness play an important role in promoting physical health,mental health,and overall development.In the digital intelligence era,the intelligent and precise querying of fitness and exercise knowledge has become a key aspect in expanding the supply and enhancing the quality of public exercise services.Therefore,a study was conducted to construct a knowledge graph-driven intelligent query system for fitness and exercise knowledge,utilizing the complementary strengths knowledge graphs and large language models.An integ-rated implementation approach that encompasses knowledge extraction and representation,knowledge organizat-ion and management,as well as knowledge inquiry and Q&A,was proposed.This will provide support for the development and implementation of intelligent querying in the fitness and exercise knowledge domain.

关键词

健身运动知识/知识图谱/智能查询/大语言模型

Key words

fitness and exercise knowledge/knowledge graph/intelligent query/large language model

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出版年

2024
首都体育学院学报
首都体育学院

首都体育学院学报

北大核心
影响因子:0.93
ISSN:1009-783X
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