图 书 馆
从链接的开放数据生成统计信息的可能解释Generating Possible Interpretations for Statistics from Linked Open Data |
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| 课程网址: | http://videolectures.net/eswc2012_paulheim_linked_data/ |
| 主讲教师: | Heiko Paulheim |
| 开课单位: | 曼海姆大学 |
| 开课时间: | 2012-07-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Statistics are very present in our daily lives. Every day, new statistics are published, showing the perceived quality of living in different cities, the corruption index of different countries, and so on. Interpreting those statistics, on the other hand, is a difficult task. Often, statistics collect only very few attributes, and it is difficult to come up with hypotheses that explain, e.g., why the perceived quality of living in once city is higher than in another. In this paper, we introduce Explain-a-LOD, an approach which uses data from Linked Open Data for generating hypotheses that explain statistics. We show an implemented prototype and compare different approaches for generating hypotheses by analyzing the perceived quality of those hypotheses in a user study. |
| 关 键 词: | 统计数据; 感知质量; 假设 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-14：lxf |
| 阅读次数: | 81 |