CRI: CI-SUSTAIN: Collaborative Research: CiteSeerX: Toward Sustainable Support of Scholarly Big Data

CRI：CI-SUSTAIN：协作研究：CiteSeerX：迈向学术大数据的可持续支持

• 批准号: 1823288
• 负责人: C. Lee Giles
• 金额: $ 77万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1823288&HistoricalAwards=false
• 关键词: CRI; CI; SUSTAIN; Collaborative; Research

Access to the scientific and scholarly literature has changed radically in recent decades. Increasingly researchers and scholars make their publications freely available on the Web. Taking advantage of this opportunity, new scientific search engine tools have been developed such as Google Scholar, Semantic Scholar, and CiteSeer, now CiteSeerX. CiteSeerX has become one of the most comprehensive and widely-used online public resources for the Computer and Information Science and Engineering (CISE) research community. Millions of CiteSeerX Portable Document Format (PDF) documents are indexed by Google. CiteSeerX is unique among digital library search engines. It is open access, most all of its documents are harvested from the public Web, and users have full-text access to all documents searchable on its website. Moreover, it provides all automatically extracted metadata and citation context via an Open Archive Initiative (OAI) metadata service interface and bulk downloads on a public cloud - all under a Creative Commons license. This service is usually not available from other scholarly search engines. CiteSeerX performs automatic extraction and indexing of tables (in production), figures (developed)}, and algorithms (developed), capabilities rarely seen in other scholarly search engines. CiteSeerX provides its open source software and architecture on GitHub. At this time none of the other above-mentioned systems release their digital library software. Utilizing the established CiteSeerX infrastructure, this proposal aims to create a sustainable CiteSeerX system with new data resources and a much larger data collection. We will develop a new system that runs with low operation overhead, without a single point of failure, and that provides quality and enriched data and metadata in portable formats that will be available through accessible user interfaces. We will ingest all freely accessible scientific documents on the Web, currently estimated to be 30 million. CiteSeerX will make available high-quality metadata through an accessible Web User Interface, Application Programming Interface, and data dumps. SeerSuite, the platform on which CiteSeerX is built, will be refactored so as to be an easily deployable and configurable scholarly digital library framework. It will be built on commercial grade open source software. In addition, we will provide searchable semantic metadata, such as key phrases and disambiguated author names, and non-textual content such as data from figures, tables, algorithms, and equations. For long-term sustainability we will explore different monetization models. The result will be a refactored digital library search engine that provides stable, usable, and reliable data services on multiple types of scientific documents built on a portable, maintainable, and self-contained framework that can be deployed for other research document digital collections. Source code will be hosted at https://github.com/SeerLabs. System development and related research will be published in relevant venues and be made publicly available.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

近几十年来，科学和学术文献的获取方式发生了根本变化。越来越多的研究人员和学者在网络上免费提供他们的出版物。利用这个机会，新的科学搜索引擎工具已经开发出来，如Google Scholar，Semantic Scholar和CiteSeer，现在是CiteSeerX。CiteSeerX已成为计算机和信息科学与工程（CISE）研究社区最全面和最广泛使用的在线公共资源之一。数以百万计的CiteSeerX可移植文档格式（PDF）文档被Google编入索引。CiteSeerX是数字图书馆搜索引擎中独一无二的。它是开放获取的，其大部分文件都是从公共网络上收集的，用户可以全文访问其网站上搜索的所有文件。此外，它通过开放档案倡议（OAI）元数据服务接口提供所有自动提取的元数据和引用上下文，并在公共云上批量下载-所有这些都在知识共享许可下。 此服务通常无法从其他学术搜索引擎获得。CiteSeerX执行自动提取和索引表（在生产），数字（开发），算法（开发），功能很少看到其他学术搜索引擎。CiteSeerX在GitHub上提供其开源软件和架构。目前，上述其他系统都没有发布其数字图书馆软件。利用现有的CiteSeerX基础设施，该提案旨在创建一个可持续的CiteSeerX系统，拥有新的数据资源和更大的数据收集。 我们将开发一个新的系统，该系统运行时的操作开销低，没有一个单一的故障点，并提供高质量和丰富的数据和元数据的便携式格式，将通过可访问的用户界面。我们将在网络上获取所有可免费访问的科学文件，目前估计有3000万份。CiteSeerX将通过可访问的Web用户界面、应用程序编程接口和数据转储提供高质量的元数据。SeerSuite是CiteSeerX构建的平台，将被重构，以便成为一个易于部署和配置的学术数字图书馆框架。它将建立在商业级开源软件上。 此外，我们将提供可搜索的语义元数据，如关键短语和消除歧义的作者姓名，以及非文本内容，如来自数字，表格，算法和方程的数据。为了长期可持续发展，我们将探索不同的货币化模式。其结果将是一个重构的数字图书馆搜索引擎，提供稳定，可用和可靠的数据服务，对多种类型的科学文件建立在一个便携式，可维护性和自包含的框架，可以部署为其他研究文件的数字收藏。源代码将托管在https://github.com/SeerLabs。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

CiteSeerX: 20 years of service to scholarly big data

CiteSeerX：20 年学术大数据服务

• DOI: 10.1145/3359115.3359119
• 发表时间: 2019
• 期刊: AIDR 2019
• 作者: Wu, Jian;Kim, Kunho;Giles, C. Lee
• 通讯作者: Giles, C. Lee

Scholarly big data quality assessment: a case study of document linking and conflation with S2ORC

• DOI: 10.1145/3558100.3563850
• 发表时间: 2022-09
• 期刊: Proceedings of the 22nd ACM Symposium on Document Engineering
• 作者: Jian Wu;Ryan Hiltabrand;Dominik Soós;C. Lee Giles

COVIDSeer : Extending the CORD-19 Dataset

COVIDSeer：扩展 CORD-19 数据集

• DOI: 10.1145/3395027.3419597
• 发表时间: 2020
• 期刊: Proceedings of the ACM Symposium on Document Engineering 2020
• 作者: Rohatgi, S.;Karishma, Z.;Chhay, J.;Keesara, S.R.R.;Wu, J.;Caragea, C.;Giles, C.L.
• 通讯作者: Giles, C.L.

Design Considerations for a Sustainable Scholarly Big Data Service

• DOI: 10.1145/3574318.3574340
• 发表时间: 2022-12
• 期刊: Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation
• 作者: Jian Wu;Shaurya Rohatgi;Manoj K. Angadi;Kavya S. Puranik;C. Lee Giles

Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab

使用 ARQMath Lab 的预训练 Transformer 进行排名融合和重新排名

• 发表时间: 2021
• 期刊: (CLEF 2021
• 作者: Shaurya Rohatgi, Jian Wu