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作 者:黄涛[1] 郑嘉昕 王坤[1] 黄杨毅 刘逸婷 夏泽涵 林俊 HUANG Tao;ZHENG Jiaxin;WANG Kun;HUANG Yangyi;LIU Yiting;XIA Zehan;LIN Jun(Department of Physical Education,Shanghai Jiao Tong University,Shanghai 200240,China;School of Physical Education and Sports Science,Fujian Normal University,Fuzhou,Fujian 350117,China;Department of Physical Education,Wuyi University,Wuyishan,Fujian 354300,China)
机构地区:[1]上海交通大学体育系,上海200240 [2]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
出 处:《首都体育学院学报》2024年第5期490-496,580,共8页Journal of Capital University of Physical Education and Sports
基 金:国家重点研发计划项目(2022YFC3600400)。
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。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.
分 类 号:G804[文化科学—运动人体科学]
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