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用RapidMiner挖掘链接数据的Web

Mining the Web of Linked Data with RapidMiner
课程网址: http://videolectures.net/iswc2014_paulheim_rapidminer/  
主讲教师: Heiko Paulheim
开课单位: 曼海姆大学
开课时间: 2014-12-19
课程语种: 英语
中文简介:
来自不同领域的大量数据以链接开放数据的形式发布。虽然有相当多的浏览器可以访问这些数据,也有用于特定目的的智能工具,但通过挖掘关联数据Web来获取额外知识的通用工具仍然缺乏。在这个挑战条目中,我们介绍了RapidMiner链接开放数据扩展。该扩展与强大的数据挖掘平台RapidMiner挂钩,并提供了访问RapidMiner中链接开放数据的操作符,允许在复杂的数据分析工作流中使用它,而不需要知道SPARQL或RDF。作为一个例子,我们展示了如何将科学出版物上的统计数据(作为RDF数据集发布)链接到进一步的数据集,并使用来自各种LOD数据集的附加背景知识进行分析。
课程简介: Lots of data from different domains is published as Linked Open Data. While there are quite a few browsers for that data, as well as intelligent tools for particular purposes, a versatile tool for deriving additional knowledge by mining the Web of Linked Data is still missing. In this challenge entry, we introduce the RapidMiner Linked Open Data extension. The extension hooks into the powerful data mining platform RapidMiner, and offers operators for accessing Linked Open Data in RapidMiner, allowing for using it in sophisticated data analysis workflows without the need to know SPARQL or RDF. As an example, we show how statistical data on scientific publications, published as an RDF data cube, can be linked to further datasets and analyzed using additional background knowledge from various LOD datasets.
关 键 词: 大量数据; 关联数据; 链接开放
课程来源: 视频讲座网
数据采集: 2022-12-06:chenjy
最后编审: 2022-12-06:chenjy
阅读次数: 49