以用户为中心的语义协调:一个案例研究。

User-centered semantic harmonization: a case study.

作者信息

Weng Chunhua, Gennari John H, Fridsma Douglas B

机构信息

Department of Biomedical Informatics, University of Pittsburgh, UPMC Shadyside Cancer Pavilion Suit 301, 5150 Centre Avenue, Pittsburgh, PA 15232, USA.

出版信息

J Biomed Inform. 2007 Jun;40(3):353-64. doi: 10.1016/j.jbi.2007.03.004. Epub 2007 Mar 21.

Abstract

Semantic interoperability is one of the great challenges in biomedical informatics. Methods such as ontology alignment or use of metadata neither scale nor fundamentally alleviate semantic heterogeneity among information sources. In the context of the Cancer Biomedical Informatics Grid program, the Biomedical Research Integrated Domain Group (BRIDG) has been making an ambitious effort to harmonize existing information models for clinical research from a variety of sources and modeling agreed-upon semantics shared by the technical harmonization committee and the developers of these models. This paper provides some observations on this user-centered semantic harmonization effort and its inherent technical and social challenges. The authors also compare BRIDG with related efforts to achieve semantic interoperability in healthcare, including UMLS, InterMed, the Semantic Web, and the Ontology for Biomedical Investigations initiative. The BRIDG project demonstrates the feasibility of user-centered collaborative domain modeling as an approach to semantic harmonization, but also highlights a number of technology gaps in support of collaborative semantic harmonization that remain to be filled.

摘要

语义互操作性是生物医学信息学中的重大挑战之一。诸如本体对齐或元数据使用等方法既无法扩展,也不能从根本上缓解信息源之间的语义异质性。在癌症生物医学信息网格计划的背景下,生物医学研究集成领域组(BRIDG)一直在雄心勃勃地努力协调来自各种来源的临床研究现有信息模型,并对技术协调委员会和这些模型的开发者共同认可的语义进行建模。本文对这一以用户为中心的语义协调工作及其固有的技术和社会挑战进行了一些观察。作者还将BRIDG与医疗保健领域实现语义互操作性的相关工作进行了比较,包括统一医学语言系统(UMLS)、InterMed、语义网和生物医学研究本体计划。BRIDG项目证明了以用户为中心的协作领域建模作为语义协调方法的可行性,但也突出了支持协作语义协调仍有待填补的一些技术差距。

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