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在OWL DL中表示美国国立癌症研究所叙词表:建模工具助力建模语言。

Representing the NCI Thesaurus in OWL DL: Modeling tools help modeling languages.

作者信息

Noy Natalya F, de Coronado Sherri, Solbrig Harold, Fragoso Gilberto, Hartel Frank W, Musen Mark A

机构信息

Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, United States,

出版信息

Appl Ontol. 2008 Jan 1;3(3):173-190. doi: 10.3233/AO-2008-0051.

DOI:10.3233/AO-2008-0051
PMID:19789731
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2753293/
Abstract

The National Cancer Institute's (NCI) Thesaurus is a biomedical reference ontology. The NCI Thesaurus is represented using Description Logic, more specifically Ontylog, a Description logic implemented by Apelon, Inc. We are exploring the use of the DL species of the Web Ontology Language (OWL DL)-a W3C recommended standard for ontology representation-instead of Ontylog for representing the NCI Thesaurus. We have studied the requirements for knowledge representation of the NCI Thesaurus, and considered how OWL DL (and its implementation in Protégé-OWL) satisfies these requirements. In this paper, we discuss the areas where OWL DL was sufficient for representing required components, where tool support that would hide some of the complexity and extra levels of indirection would be required, and where language expressiveness is not sufficient given the representation requirements. Because many of the knowledge-representation issues that we encountered are very similar to the issues in representing other biomedical terminologies and ontologies in general, we believe that the lessons that we learned and the approaches that we developed will prove useful and informative for other researchers.

摘要

美国国家癌症研究所(NCI)叙词表是一种生物医学参考本体。NCI叙词表使用描述逻辑来表示,更具体地说是Ontylog,它是由Apelon公司实现的一种描述逻辑。我们正在探索使用网络本体语言(OWL DL)的DL种类——一种W3C推荐的本体表示标准——来代替Ontylog表示NCI叙词表。我们研究了NCI叙词表知识表示的要求,并考虑了OWL DL(及其在Protégé-OWL中的实现)如何满足这些要求。在本文中,我们讨论了OWL DL足以表示所需组件的领域、需要隐藏一些复杂性和额外间接层次的工具支持的领域,以及鉴于表示要求语言表达能力不足的领域。由于我们遇到的许多知识表示问题与一般表示其他生物医学术语和本体时遇到的问题非常相似,我们相信我们学到的经验教训和开发的方法将被证明对其他研究人员有用且信息丰富。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/72ab4ae437c2/nihms120178f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/4e3c96c8144f/nihms120178f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/3ee0be592727/nihms120178f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/244be260bb88/nihms120178f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/f23e4a5ae88f/nihms120178f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/ed3529f87004/nihms120178f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/72ab4ae437c2/nihms120178f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/4e3c96c8144f/nihms120178f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/f744e01de85a/nihms120178f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/3ee0be592727/nihms120178f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/244be260bb88/nihms120178f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/f23e4a5ae88f/nihms120178f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/ed3529f87004/nihms120178f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f484/2753293/72ab4ae437c2/nihms120178f7.jpg

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3
The foundational model of anatomy in OWL: Experience and perspectives.OWL 中的解剖学基础模型:经验与观点。
jPOST 环境:一个综合蛋白质组学数据存储库和数据库。
Nucleic Acids Res. 2019 Jan 8;47(D1):D1218-D1224. doi: 10.1093/nar/gky899.
4
An ontology-driven tool for structured data acquisition using Web forms.一种用于使用网络表单进行结构化数据采集的本体驱动工具。
J Biomed Semantics. 2017 Aug 1;8(1):26. doi: 10.1186/s13326-017-0133-1.
5
The Protégé Project: A Look Back and a Look Forward.Protégé项目:回顾与展望。
AI Matters. 2015 Jun;1(4):4-12. doi: 10.1145/2757001.2757003.
6
Ontology-based data integration between clinical and research systems.临床与研究系统之间基于本体的数据集成。
PLoS One. 2015 Jan 14;10(1):e0116656. doi: 10.1371/journal.pone.0116656. eCollection 2015.
7
The National Institutes of Health's Biomedical Translational Research Information System (BTRIS): design, contents, functionality and experience to date.美国国立卫生研究院的生物医学转化研究信息系统(BTRIS):设计、内容、功能及目前的经验。
J Biomed Inform. 2014 Dec;52:11-27. doi: 10.1016/j.jbi.2013.11.004. Epub 2013 Nov 19.
8
Terminology representation guidelines for biomedical ontologies in the semantic web notations.语义网符号生物医学本体论术语表示指南。
J Biomed Inform. 2013 Feb;46(1):128-38. doi: 10.1016/j.jbi.2012.09.003. Epub 2012 Sep 28.
9
Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience.将临床表型数据元素映射到标准化元数据存储库和受控术语:eMERGE 网络的经验。
J Am Med Inform Assoc. 2011 Jul-Aug;18(4):376-86. doi: 10.1136/amiajnl-2010-000061. Epub 2011 May 19.
10
Auditing associative relations across two knowledge sources.审核跨两个知识源的关联关系。
J Biomed Inform. 2009 Jun;42(3):426-39. doi: 10.1016/j.jbi.2009.01.004.
Web Semant. 2006;4(3):181-195. doi: 10.1016/j.websem.2006.05.007.
4
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AMIA Annu Symp Proc. 2005;2005:181-5.
5
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6
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7
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J Biomed Inform. 2005 Apr;38(2):114-29. doi: 10.1016/j.jbi.2004.09.001.