DataFunSummit知识图谱峰会2022共47份

[{"title":"（ 47 个子文件 484.35MB ） DataFunSummit知识图谱峰会2022共47份","children":[{"title":"7-1 FMEA 知识图谱.pdf <span style='color:#111;'> 74.60MB </span>","children":null,"spread":false},{"title":"7-3 借势认知生态，卡位认知制造.pdf <span style='color:#111;'> 25.19MB </span>","children":null,"spread":false},{"title":"1-5 基于美团大脑的商品理解.pdf <span style='color:#111;'> 13.09MB </span>","children":null,"spread":false},{"title":"10-4 九歌的算法——具有文学表现力的中文古典诗歌自动生成方法.pdf <span style='color:#111;'> 6.40MB </span>","children":null,"spread":false},{"title":"4-1 开源开放的知识图谱工具和数据生态.pdf <span style='color:#111;'> 14.83MB </span>","children":null,"spread":false},{"title":"7-5 基于知识图谱的工业自动化知识发现应用及挑战.pdf <span style='color:#111;'> 6.08MB </span>","children":null,"spread":false},{"title":"10-6 基于知识图谱的商品营销文案自动生成实践.pdf <span style='color:#111;'> 14.92MB </span>","children":null,"spread":false},{"title":"1-1 自动化知识图谱表示学习：从三元组到子图.pdf <span style='color:#111;'> 9.73MB </span>","children":null,"spread":false},{"title":"6-3 事件图谱在智能客服问答中的应用.pdf <span style='color:#111;'> 5.31MB </span>","children":null,"spread":false},{"title":"10-2 基于知识图谱的多模内容创作技术及应用.pdf <span style='color:#111;'> 29.24MB </span>","children":null,"spread":false},{"title":"3-1 图数据库选型方法：问题，方法与工具.pdf <span style='color:#111;'> 1.58MB </span>","children":null,"spread":false},{"title":"5-4 知识图谱在美团推荐场景中的应用.pdf <span style='color:#111;'> 8.46MB </span>","children":null,"spread":false},{"title":"10-1 新零售多模态知识图谱的探索与实践.pdf <span style='color:#111;'> 14.38MB </span>","children":null,"spread":false},{"title":"2-2 低资源信息抽取鲁棒性问题发现与提升.pdf <span style='color:#111;'> 18.13MB </span>","children":null,"spread":false},{"title":"4-4 蚂蚁商家图谱的构建、融合应用及开放.pdf <span style='color:#111;'> 5.06MB </span>","children":null,"spread":false},{"title":"7-4 电力领域知识图谱技术进展与应用实践.pdf <span style='color:#111;'> 4.44MB </span>","children":null,"spread":false},{"title":"5-3 搜索场景下的智能实体推荐.pdf <span style='color:#111;'> 7.27MB </span>","children":null,"spread":false},{"title":"7-2 认知图谱在供应链和运营绩效提升领域的一些实践.pdf <span style='color:#111;'> 2.73MB </span>","children":null,"spread":false},{"title":"3-3 Nebula Graph v3 ——开源分布式高性能图数据库.pdf <span style='color:#111;'> 4.94MB </span>","children":null,"spread":false},{"title":"6-1 QQ浏览器搜索中的智能问答技术.pdf <span style='color:#111;'> 16.31MB </span>","children":null,"spread":false},{"title":"3-2 攻克 36TB LDBC：TigerGraph可扩展图数据和分析平台.pdf <span style='color:#111;'> 7.08MB </span>","children":null,"spread":false},{"title":"8-1 从领域落地看深层解析的符号模型与深度学习的预训练模型.pdf <span style='color:#111;'> 33.56MB </span>","children":null,"spread":false},{"title":"8-5 多模态推理演算与学习.pdf <span style='color:#111;'> 6.18MB </span>","children":null,"spread":false},{"title":"8-3 知识图谱在金融领域的分析与应用.pdf <span style='color:#111;'> 11.38MB </span>","children":null,"spread":false},{"title":"9-3 中医药知识图谱的构建与应用.pdf <span style='color:#111;'> 8.58MB </span>","children":null,"spread":false},{"title":"2-1 电信知识图谱建设与应用实践.pdf <span style='color:#111;'> 4.70MB </span>","children":null,"spread":false},{"title":"10-3 可控、可靠的数据到文本生成技术.pdf <span style='color:#111;'> 11.10MB </span>","children":null,"spread":false},{"title":"3-5 金融级分布式高性能图数据库的构建.pdf <span style='color:#111;'> 6.05MB </span>","children":null,"spread":false},{"title":"2-4 不同领域的“多模态”研究进展与思考.pdf <span style='color:#111;'> 4.61MB </span>","children":null,"spread":false},{"title":"1-4 知识推理在金融场景的应用与尝试.pdf <span style='color:#111;'> 6.80MB </span>","children":null,"spread":false},{"title":"2-3 低资源情境下的知识图谱构建.pdf <span style='color:#111;'> 12.28MB </span>","children":null,"spread":false},{"title":"5-1 可解释推荐的前沿进展.pdf <span style='color:#111;'> 2.66MB </span>","children":null,"spread":false},{"title":"8-2 正则表达式的神经网络化.pdf <span style='color:#111;'> 1.47MB </span>","children":null,"spread":false},{"title":"3-4 人人可用的图计算：GraphScope 的现状和未来.pdf <span style='color:#111;'> 30.38MB </span>","children":null,"spread":false},{"title":"4-2 阿里数字商业知识图谱构建及开放.pdf <span style='color:#111;'> 6.88MB </span>","children":null,"spread":false},{"title":"9-4 医疗领域图谱的构建及应用.pdf <span style='color:#111;'> 3.74MB </span>","children":null,"spread":false},{"title":"6-4 基于知识图谱的复杂问题推理问答.pdf <span style='color:#111;'> 17.72MB </span>","children":null,"spread":false},{"title":"1-2 知识图谱多步推理.pdf <span style='color:#111;'> 9.84MB </span>","children":null,"spread":false},{"title":"6-5 OPPO 知识图谱及其在小布助手中的应用.pdf <span style='color:#111;'> 3.06MB </span>","children":null,"spread":false},{"title":"8-4 知识图谱在产业分析领域的应用.pdf <span style='color:#111;'> 3.09MB </span>","children":null,"spread":false},{"title":"6-2 微信搜一搜中的智能问答技术.pdf <span style='color:#111;'> 3.69MB </span>","children":null,"spread":false},{"title":"9-1 医疗自然语言处理与医疗知识图谱.pdf <span style='color:#111;'> 4.73MB </span>","children":null,"spread":false},{"title":"1-3 基于时序知识图谱的问答系统.pdf <span style='color:#111;'> 19.26MB </span>","children":null,"spread":false},{"title":"9-2 Thematic role语义识别和医药知识精细挖掘.pdf <span style='color:#111;'> 22.44MB </span>","children":null,"spread":false},{"title":"4-3 OPENBASE：知识众包平台解析.pdf <span style='color:#111;'> 2.74MB </span>","children":null,"spread":false},{"title":"5-5 知识图谱在招聘推荐匹配的应用.pdf <span style='color:#111;'> 5.75MB </span>","children":null,"spread":false},{"title":"10-5 有灵智能辅助创作.pdf <span style='color:#111;'> 1.20MB </span>","children":null,"spread":false}],"spread":true}]