图 书 馆
为数据源分配语义标签Assigning Semantic Labels to Data Sources |
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| 课程网址: | http://videolectures.net/eswc2015_krishnamurthy_data_sources/ |
| 主讲教师: | Ramnandan Krishnamurthy |
| 开课单位: | 印度马德拉斯理工学院 |
| 开课时间: | 2015-07-15 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | There is a huge demand to be able to find and integrate heterogeneous data sources, which requires mapping the attributes of a source to the concepts and relationships defined in a domain ontology. In this paper, we present a new approach to find these mappings, which we call semantic labeling. Previous approaches map each data value individually, typically by learning a model based on features extracted from the data using supervised machine-learning techniques. Our approach differs from existing approaches in that we take a holistic view of the data values corresponding to a semantic label and use techniques that treat this data collectively, which makes it possible to capture characteristic properties of the values associated with a semantic label as a whole. Our approach supports both textual and numeric data and proposes the top k semantic labels along with their associated confidence scores. Our experiments show that the approach has higher label prediction accuracy, has lower time complexity, and is more scalable than existing systems. |
| 关 键 词: | 集成异构; 学习模型; 语义标签 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-12：chenjy |
| 最后编审: | 2022-12-12：chenjy |
| 阅读次数: | 18 |