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用于知识图完成的事件增强学习Event-Enhanced Learning for Knowledge Graph Completion |
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| 课程网址: | http://videolectures.net/eswc2018_ringsquandl_graph_completion/ |
| 主讲教师: | Martin Ringscandl |
| 开课单位: | 路德维希马克西米利安大学 |
| 开课时间: | 2018-07-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Statistical learning of relations between entities is a popular approach to address the problem of missing data in Knowledge Graphs. In this work we study how this learning can be enhanced with background of a special kind: event logs, that are sequences of entities that may occur in the graph. Such background naturally occurs in many important applications. We propose various embedding models that combine entities of a Knowledge Graph and event logs. Our evaluation shows that our approach outperforms state-of-the-art baselines on real-world manufacturing and road traffic Knowledge Graphs, as well as in a controlled scenario that mimics manufacturing processes. |
| 关 键 词: | 统计学习; 事件日志; 实体序列 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-24：chenjy |
| 最后编审: | 2023-05-11：chenjy |
| 阅读次数: | 27 |