图 书 馆
检测用于数据预取的SPARQL查询模板Detecting SPARQL Query Templates for Data Prefetching |
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| 课程网址: | http://videolectures.net/eswc2013_lorey_data/ |
| 主讲教师: | Johannes Lorey, Laura Hollink |
| 开课单位: | 波茨坦大学 |
| 开课时间: | 2013-07-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Publicly available Linked Data repositories provide a multitude of information. By utilizing Sparql, Web sites and services can consume this data and present it in a user-friendly form, e.g., in mash-ups. To gather RDF triples for this task, machine agents typically issue similarly structured queries with recurring patterns against the Sparql endpoint. These queries usually differ only in a small number of individual triple pattern parts, such as resource labels or literals in objects. We present an approach to detect such recurring patterns in queries and introduce the notion of query templates, which represent clusters of similar queries exhibiting these recurrences. We describe a matching algorithm to extract query templates and illustrate the benefits of prefetching data by utilizing these templates. Finally, we comment on the applicability of our approach using results from real-world Sparql query logs. |
| 关 键 词: | 关联数据; 机器代理; 结构化查询 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-14：lxf |
| 阅读次数: | 23 |