• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Biotea：将PubMed Central进行RDF化以支持该论文作为数据网络的接口。

Biotea: RDFizing PubMed Central in support for the paper as an interface to the Web of Data.

作者信息

Garcia Castro L Jael, McLaughlin C, Garcia A

机构信息

Institute for Digital Information and Scientific Communication, College of Communication and Information, Florida State University, Tallahassee, Florida, 32306-2651, USA.

出版信息

J Biomed Semantics. 2013 Apr 15;4 Suppl 1(Suppl 1):S5. doi: 10.1186/2041-1480-4-S1-S5.

DOI:10.1186/2041-1480-4-S1-S5
PMID:23734622
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3804025/
Abstract

BACKGROUND

The World Wide Web has become a dissemination platform for scientific and non-scientific publications. However, most of the information remains locked up in discrete documents that are not always interconnected or machine-readable. The connectivity tissue provided by RDF technology has not yet been widely used to support the generation of self-describing, machine-readable documents.

RESULTS

In this paper, we present our approach to the generation of self-describing machine-readable scholarly documents. We understand the scientific document as an entry point and interface to the Web of Data. We have semantically processed the full-text, open-access subset of PubMed Central. Our RDF model and resulting dataset make extensive use of existing ontologies and semantic enrichment services. We expose our model, services, prototype, and datasets at http://biotea.idiginfo.org/

CONCLUSIONS

The semantic processing of biomedical literature presented in this paper embeds documents within the Web of Data and facilitates the execution of concept-based queries against the entire digital library. Our approach delivers a flexible and adaptable set of tools for metadata enrichment and semantic processing of biomedical documents. Our model delivers a semantically rich and highly interconnected dataset with self-describing content so that software can make effective use of it.

摘要

背景

万维网已成为科学和非科学出版物的传播平台。然而，大多数信息仍被锁定在离散的文档中，这些文档并不总是相互关联或机器可读的。RDF技术提供的连接组织尚未被广泛用于支持生成自我描述的、机器可读的文档。

结果

在本文中，我们展示了生成自我描述的机器可读学术文档的方法。我们将科学文档理解为数据网络的入口点和接口。我们对PubMed Central的全文开放获取子集进行了语义处理。我们的RDF模型和所得数据集广泛使用了现有的本体和语义丰富服务。我们在http://biotea.idiginfo.org/上展示了我们的模型、服务、原型和数据集。

结论

本文中提出的生物医学文献语义处理将文档嵌入数据网络，并便于对整个数字图书馆执行基于概念的查询。我们的方法为生物医学文档的元数据丰富和语义处理提供了一套灵活且可适应的工具。我们的模型提供了一个语义丰富且高度互联的数据集，其内容具有自我描述性，以便软件能够有效利用它。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/6b86ad4e7835/2041-1480-4-S1-S5-14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/75582c01d35a/2041-1480-4-S1-S5-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/5aff5d5083a1/2041-1480-4-S1-S5-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/0ca18016a086/2041-1480-4-S1-S5-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/de31b7e02d9c/2041-1480-4-S1-S5-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/e2daa96d24ca/2041-1480-4-S1-S5-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/9fd638d34c1e/2041-1480-4-S1-S5-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/4f8f76dcefbf/2041-1480-4-S1-S5-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/1da1b32cfe46/2041-1480-4-S1-S5-8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/33ad2d44291d/2041-1480-4-S1-S5-9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/f48de9e0d403/2041-1480-4-S1-S5-10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/9b640fd94414/2041-1480-4-S1-S5-11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/27012ec21de7/2041-1480-4-S1-S5-12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/1672e7ad22c3/2041-1480-4-S1-S5-13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/6b86ad4e7835/2041-1480-4-S1-S5-14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/75582c01d35a/2041-1480-4-S1-S5-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/5aff5d5083a1/2041-1480-4-S1-S5-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/0ca18016a086/2041-1480-4-S1-S5-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/de31b7e02d9c/2041-1480-4-S1-S5-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/e2daa96d24ca/2041-1480-4-S1-S5-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/9fd638d34c1e/2041-1480-4-S1-S5-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/4f8f76dcefbf/2041-1480-4-S1-S5-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/1da1b32cfe46/2041-1480-4-S1-S5-8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/33ad2d44291d/2041-1480-4-S1-S5-9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/f48de9e0d403/2041-1480-4-S1-S5-10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/9b640fd94414/2041-1480-4-S1-S5-11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/27012ec21de7/2041-1480-4-S1-S5-12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/1672e7ad22c3/2041-1480-4-S1-S5-13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd3/3804025/6b86ad4e7835/2041-1480-4-S1-S5-14.jpg

相似文献

1
Biotea: RDFizing PubMed Central in support for the paper as an interface to the Web of Data.Biotea：将PubMed Central进行RDF化以支持该论文作为数据网络的接口。
J Biomed Semantics. 2013 Apr 15;4 Suppl 1(Suppl 1):S5. doi: 10.1186/2041-1480-4-S1-S5.
2
Biotea: semantics for Pubmed Central.Biotea：美国国立医学图书馆生物医学文献数据库中心的语义学
PeerJ. 2018 Jan 2;6:e4201. doi: 10.7717/peerj.4201. eCollection 2018.
3
Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications.Biotea-2-Bioschemas，助力为语义标注学术出版物提供结构化标记。
Genomics Inform. 2019 Jun;17(2):e14. doi: 10.5808/GI.2019.17.2.e14. Epub 2019 Jun 19.
4
In the pursuit of a semantic similarity metric based on UMLS annotations for articles in PubMed Central Open Access.在为美国国立医学图书馆医学主题词表（UMLS）注释的基于PubMed Central开放获取文章的语义相似性度量标准的研究中。
J Biomed Inform. 2015 Oct;57:204-18. doi: 10.1016/j.jbi.2015.07.015. Epub 2015 Aug 1.
5
Adventures in semantic publishing: exemplar semantic enhancements of a research article.语义出版的探索：研究论文的语义增强示例
PLoS Comput Biol. 2009 Apr;5(4):e1000361. doi: 10.1371/journal.pcbi.1000361. Epub 2009 Apr 17.
6
An open annotation ontology for science on web 3.0.用于Web 3.0科学领域的开放注释本体。
J Biomed Semantics. 2011 May 17;2 Suppl 2(Suppl 2):S4. doi: 10.1186/2041-1480-2-S2-S4.
7
Establishing a distributed system for the simple representation and integration of diverse scientific assertions.建立一个用于简单表示和整合各种科学论断的分布式系统。
J Biomed Semantics. 2010 Jun 22;1 Suppl 1(Suppl 1):S5. doi: 10.1186/2041-1480-1-S1-S5.
8
SemanticEye: a semantic web application to rationalize and enhance chemical electronic publishing.语义之眼：一个用于使化学电子出版合理化并加以增强的语义网应用程序。
J Chem Inf Model. 2006 Nov-Dec;46(6):2396-411. doi: 10.1021/ci060139e.
9
PaperBot: open-source web-based search and metadata organization of scientific literature.PaperBot：基于网络的开源科学文献搜索和元数据组织工具。
BMC Bioinformatics. 2019 Jan 24;20(1):50. doi: 10.1186/s12859-019-2613-z.
10
LOPDF: a framework for extracting and producing open data of scientific documents for smart digital libraries.LOPDF：一种用于为智能数字图书馆提取和生成科学文献开放数据的框架。
PeerJ Comput Sci. 2021 Apr 7;7:e445. doi: 10.7717/peerj-cs.445. eCollection 2021.

引用本文的文献

1
Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications.Biotea-2-Bioschemas，助力为语义标注学术出版物提供结构化标记。
Genomics Inform. 2019 Jun;17(2):e14. doi: 10.5808/GI.2019.17.2.e14. Epub 2019 Jun 19.
2
Biotea: semantics for Pubmed Central.Biotea：美国国立医学图书馆生物医学文献数据库中心的语义学
PeerJ. 2018 Jan 2;6:e4201. doi: 10.7717/peerj.4201. eCollection 2018.
3
Supporting inter-topic entity search for biomedical Linked Data based on heterogeneous relationships.基于异构关系的生物医学链接数据中跨主题实体搜索的支持。

本文引用的文献

1
Identifiers.org and MIRIAM Registry: community resources to provide persistent identification.Identifiers.org 和 MIRIAM 注册表：为提供持久标识提供社区资源。
Nucleic Acids Res. 2012 Jan;40(Database issue):D580-6. doi: 10.1093/nar/gkr1097. Epub 2011 Dec 2.
2
An open annotation ontology for science on web 3.0.用于Web 3.0科学领域的开放注释本体。
J Biomed Semantics. 2011 May 17;2 Suppl 2(Suppl 2):S4. doi: 10.1186/2041-1480-2-S2-S4.
3
UniProt Knowledgebase: a hub of integrated protein data.UniProt 知识库：一个集成蛋白质数据的中心。
Comput Biol Med. 2017 Aug 1;87:217-229. doi: 10.1016/j.compbiomed.2017.05.026. Epub 2017 May 31.
4
Colil: a database and search service for citation contexts in the life sciences domain.Colil：生命科学领域引文上下文的数据库及搜索服务。
J Biomed Semantics. 2015 Oct 19;6:38. doi: 10.1186/s13326-015-0037-x. eCollection 2015.
5
Structuring research methods and data with the research object model: genomics workflows as a case study.利用研究对象模型构建研究方法和数据：以基因组学工作流程为例
J Biomed Semantics. 2014 Sep 18;5(1):41. doi: 10.1186/2041-1480-5-41. eCollection 2014.
6
Selected papers from the 15th Annual Bio-Ontologies Special Interest Group Meeting.第15届生物本体特别兴趣小组年度会议精选论文。
J Biomed Semantics. 2013 Apr 15;4 Suppl 1(Suppl 1):I1. doi: 10.1186/2041-1480-4-S1-I1.
Database (Oxford). 2011 Mar 29;2011:bar009. doi: 10.1093/database/bar009. Print 2011.
4
Clustering more than two million biomedical publications: comparing the accuracies of nine text-based similarity approaches.对两百多万篇生物医学文献进行聚类：比较九种基于文本的相似度方法的准确性。
PLoS One. 2011 Mar 17;6(3):e18029. doi: 10.1371/journal.pone.0018029.
5
The Gene Wiki: community intelligence applied to human gene annotation.基因维基：应用于人类基因注释的社区智能。
Nucleic Acids Res. 2010 Jan;38(Database issue):D633-9. doi: 10.1093/nar/gkp760. Epub 2009 Sep 15.
6
Reflect: augmented browsing for the life scientist.反思：为生命科学家提供的增强型浏览
Nat Biotechnol. 2009 Jun;27(6):508-10. doi: 10.1038/nbt0609-508.
7
PuReD-MCL: a graph-based PubMed document clustering methodology.PuReD-MCL：一种基于图的PubMed文档聚类方法。
Bioinformatics. 2008 Sep 1;24(17):1935-41. doi: 10.1093/bioinformatics/btn318. Epub 2008 Jul 1.
8
Bio2RDF: towards a mashup to build bioinformatics knowledge systems.Bio2RDF：迈向构建生物信息学知识系统的混搭应用程序
J Biomed Inform. 2008 Oct;41(5):706-16. doi: 10.1016/j.jbi.2008.03.004. Epub 2008 Mar 21.
9
Text processing through Web services: calling Whatizit.通过网络服务进行文本处理：调用Whatizit。
Bioinformatics. 2008 Jan 15;24(2):296-8. doi: 10.1093/bioinformatics/btm557. Epub 2007 Nov 15.
10
Biomedical knowledge navigation by literature clustering.通过文献聚类进行生物医学知识导航。
J Biomed Inform. 2007 Apr;40(2):114-30. doi: 10.1016/j.jbi.2006.07.004. Epub 2006 Aug 5.