CiteSeerX: 20 years of service to scholarly big data
CiteSeerX: 20 years of service to scholarly big data
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CiteSeerX：20 年学术大数据服务
DOI：
10.1145/3359115.3359119
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Giles, C. Lee
中科院分区：
文献类型：
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作者：
Wu, Jian;Kim, Kunho;Giles, C. Lee
CiteSeerX是数字图书馆搜索引擎的先驱，已经为学术界服务了20多年（首次发布于1998年）。系统的角度总结了其架构的演变在过去的20年中的三个阶段。数据视角描述了CiteSeerX如何创建可搜索的学术大数据集，并使其免费用于多种目的。为了具有可扩展性和有效性，所有基本模块都采用了人工智能技术。为了有效地训练这些模型，已经标记了足够数量的数据，然后可以重用这些数据来训练未来的模型。最后，我们讨论了CiteSeerX的未来。我们正在进行的工作是使CiteSeerX更具可持续性。为此，我们正在努力吸收所有开放获取的学术论文，估计有3000万到4000万篇。该计划的一部分是发现学术文章中的数据集提及和元数据，并使它们更容易通过搜索界面访问。用户将有更多的机会探索和跟踪可以重用的数据集，并为新的研究项目发现其他数据集。我们总结了所学到的，使一个类似的系统更可持续和有用的。
We overview CiteSeerX, the pioneer digital library search engine, that has been serving academic communities for more than 20 years (first released in 1998), from three perspectives. The system perspective summarizes its architecture evolution in three phases over the past 20 years. The data perspective describes how CiteSeerX has created searchable scholarly big datasets and made them freely available for multiple purposes. In order to be scalable and effective, AI technologies are employed in all essential modules. To effectively train these models, a sufficient amount of data has been labeled, which can then be reused for training future models. Finally, we discuss the future of CiteSeerX. Our ongoing work is to make CiteSeerX more sustainable. To this end, we are working to ingest all open access scholarly papers, estimated to be 30-40 million. Part of the plan is to discover dataset mentions and metadata in scholarly articles and make them more accessible via search interfaces. Users will have more opportunities to explore and trace datasets that can be reused and discover other datasets for new research projects. We summarize what was learned to make a similar system more sustainable and useful.
CiteSeerX-2018：经过净化的多学科学术大数据集
DOI：
--
发表时间：
2018
期刊：
IEEE International Conference on Big Data
影响因子：
--
作者：
Jian Wu, Bharath Kandimalla
通讯作者：
Jian Wu, Bharath Kandimalla