Nell2RDF: Read the Web, and Turn it into RDF
Nell2RDF: Read the Web, and Turn it into RDF
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Nell2RDF：阅读 Web，并将其转换为 RDF
DOI：
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发表时间：
2013
期刊：
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通讯作者：
Quentin Cruzille
中科院分区：
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作者：
Antoine Zimmermann;C. Gravier;Julien Subercaze;Quentin Cruzille
本文描述了Nell2RDF平台，该平台提供了一般知识的关联数据，基于由读取Web的永久机器学习过程（称为NELL）自动构建的数据。与DBpedia相反，NELL记录的所有事实都可以根据其出处和一定程度的置信度进行跟踪。通过我们的平台，我们的目标是捕获NELL生成的所有数据，并按照最佳实践将其转换为最先进的关联数据。我们讨论了该平台在开辟新的研究领域方面的好处，而这项工作仍在进行中。
This paper describes the Nell2RDF platform that provides Linked Data of general knowledge, based on data automatically constructed by a permanent machine learning process called NELL that reads the Web. As opposed to DBpedia, all facts recorded by NELL can be tracked according to its provenance and a degree of confidence. With our platform, we aim at capturing all the data generated by NELL a transform them into state of the art Linked Data, following best practices. We discuss the benefits of the platform in opening new lines of research, while the work is still in progress.