图 书 馆
使用来自100多万个网站的数据扩展表Extending Tables with Data from over a Million Websites |
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| 课程网址: | http://videolectures.net/iswc2014_bizer_extending_tables/ |
| 主讲教师: | Christian Bizer |
| 开课单位: | 柏林弗雷大学 |
| 开课时间: | 2014-12-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This Big Data Track submission demonstrates how the BTC 2014 dataset, Microdata annotations from thousands of websites, as well as millions of HTML tables are used to extend local tables with additional columns. Table extension is a useful operation within a wide range of application scenarios: Imagine you are an analyst having a local table describing companies and you want to extend this table with the headquarter of each company. Or imagine you are a film enthusiast and want to extend a table describing films with attributes like director, genre, and release date of each film. The Mannheim Search Joins Engine automatically performs such table extension operations based on a large data corpus gathered from over a million websites that publish structured data in various formats. Given a local table, the Mannheim Search Joins Engine searches the corpus for additional data describing the entities of the input table. The discovered data are then joined with the local table and their content is consolidated using schema matching and data fusion methods. As result, the user is presented with an extended table and given the opportunity to examine the provenance of the added data. Our experiments show that the Mannheim Search Joins Engine achieves a coverage close to 100% and a precision of around 90% within different application scenarios. |
| 关 键 词: | 数据跟踪; 网站注释; 数据扩展 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-06-10：chenxin01 |
| 最后编审: | 2023-06-10：chenxin01 |
| 阅读次数: | 17 |