Recommender Systems (RS) are established to deal with the preferences of users to
enhance their experience and interest in innumerable online applications by streamlining …

知识图谱是赋予机器背景知识的大规模语义网络. 利用知识图谱对多源异构的医学信息进行有序
化组织, 能有效提升海量医学资源的利用价值, 推动医学智能化发展. 从知识图谱的关键技术 …

Many web-based pharmaceutical e-commerce platforms allow consumers to post open-
ended textual reviews based on their purchase experiences. Understanding the true voice of …

Internet-of-Things (IoTs) entity discovery plays an important role in the Industrial IoTs,
especially with the rapidly increasing and updating of IoT sensors in the industrial …

Knowledge Graph (KG) as an ideal knowledge base can effectively support the mining,
analysis and reasoning of complex relational data. It has been widely used by academia …

目前矿井建设工作中积累了海量数据, 运用知识图谱技术可以挖掘这些动态数据间的复杂联系,
为管理矿井数据, 实现智慧化矿井建设等研究提供有效帮助. 通过文献调研分析了矿井建设知识 …

Neural question generation (NQG) is the task of automatically generating a question from a
given passage and answering it with sequence-to-sequence neural models. Passage …

Vehicle lane‐changing behaviour is often regarded as transient traffic behaviour while
ignoring behavioural characteristics of the lane‐changing process. A combined prediction …

The traditional topic‐based auditing model lacks the ability of multi‐object and multi‐
abnormal correlation auditing, which makes it impossible to solve the multi‐scenario and …

知识图谱是大数据时代下知识工程的关键技术. 利用知识图谱强大的语义理解和知识组织能力,
可以解决现代化农业建设中农业知识分散无序, 知识覆盖范围不足等问题针对农业领域数据复杂 …