Building a drug ontology based on RxNorm and other sources.

Building a drug ontology based on RxNorm and other sources.
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DOI:
10.1186/2041-1480-4-44
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发表时间:
2013-12-18
影响因子:
1.9
通讯作者:
Hogan WR
Hogan WR
中科院分区:
工程技术4区
文献类型:
--
作者:
Hanna J;Joseph E;Brochhausen M;Hogan WR

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我们建立了药物本体(DrOn),因为我们需要在语义Web应用程序中使用的格式中正确和一致的药物信息,并且没有现有的资源满足此要求,或者可以进行修改以满足它。我们在创建DrOn时面临的障碍之一是难以重用现有资源中的药物信息。我们在DrOn开发的这个阶段使用的主要外部资源是RxNorm,这是由美国国家医学图书馆(NLM)策划的标准药物术语。为了构建DrOn,我们(1)从RxNorm的历史版本中挖掘数据,(2)将许多RxNorm实体映射到生物学感兴趣的化学实体(ChEBI)类,同时从ChEBI中提取相关信息。我们以模块化的方式构建DrOn,以便于更简单的本体扩展和开发,并允许推理和构建扩展。从每个源派生的类在单独的模块中序列化。例如,DrOn中以编程方式从RxNorm导出的类被存储在单独的模块中,并且被DrOn的手动策划的、现实主义的、具有诸如“临床药物角色”、“片剂”、“胶囊”等术语的上层模块中的类所包含。DrOn是药物产品、其成分、以及它们的生物活性,避免了在其他类似工件中发现的许多基本缺陷,并满足了我们的比较有效性研究用例的要求。
We built the Drug Ontology (DrOn) because we required correct and consistent drug information in a format for use in semantic web applications, and no existing resource met this requirement or could be altered to meet it. One of the obstacles we faced when creating DrOn was the difficulty in reusing drug information from existing sources. The primary external source we have used at this stage in DrOn’s development is RxNorm, a standard drug terminology curated by the National Library of Medicine (NLM). To build DrOn, we (1) mined data from historical releases of RxNorm and (2) mapped many RxNorm entities to Chemical Entities of Biological Interest (ChEBI) classes, pulling relevant information from ChEBI while doing so. We built DrOn in a modular fashion to facilitate simpler extension and development of the ontology and to allow reasoning and construction to scale. Classes derived from each source are serialized in separate modules. For example, the classes in DrOn that are programmatically derived from RxNorm are stored in a separate module and subsumed by classes in a manually-curated, realist, upper-level module of DrOn with terms such as 'clinical drug role’, 'tablet’, 'capsule’, etc. DrOn is a modular, extensible ontology of drug products, their ingredients, and their biological activity that avoids many of the fundamental flaws found in other, similar artifacts and meets the requirements of our comparative-effectiveness research use-case.
DOI: 10.3233/sw-2011-0025
发表时间: 2011-01-01
期刊: SEMANTIC WEB
影响因子: 3
作者:
Horridge, Matthew;Bechhofer, Sean
通讯作者: Bechhofer, Sean
DOI: 10.1136/amiajnl-2011-000116
发表时间: 2011-07-01
影响因子: 6.4
作者:
Nelson, Stuart J.;Zeng, Kelly;Moore, Robin
通讯作者: Moore, Robin