Large-scale biomedical ontology matching with ServOMap
Large-scale biomedical ontology matching with ServOMap
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DOI：
10.1016/j.irbm.2012.12.011
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发表时间：
2013-02-01
期刊：
影响因子：
4.8
通讯作者：
Diallo, G.
中科院分区：
文献类型：
--
作者：
Ba, M.;Diallo, G.
生物医学应用的激增，依赖于不同的知识组织系统，如本体和词典，提出了自动识别这些模型之间对应关系的问题，特别是对于数据集成需求。为了解决本体对齐的问题，已经进行了大量的工作。然而，很少有系统能够处理包含成千上万个实体的本体，因为在生物医学领域，通常使用诸如SNOMED-CT、FMA或NCI词库等资源。本文提出了一种高效的大规模本体对齐系统ServOMap。它依赖于本体服务器（ServO），并使用信息检索技术计算实体之间的相似度。该系统以两种配置参与了2012年本体校准评估计划活动。我们报告了该系统在大型生物医学本体对齐方面获得的非常有希望的结果。ServOMap可以从http://code.google.com/p/servo/免费下载。(C) 2013 Elsevier Masson SAS。版权所有。
The proliferation of biomedical applications, which rely on different knowledge organization systems, such as ontologies and thesauri raises the issue of the automated identification of the correspondences between these models, in particular for the data integration need. A significant effort has been conducted for tackling this issue of ontology alignment. However, few systems are able to deal with ontologies containing tens of thousands of entities, as it may be the case in the biomedical domain where resources such as SNOMED-CT, the FMA or the NCI thesaurus are commonly used. We present in this paper ServOMap, an efficient system for large-scale ontology alignment. It relies on an Ontology Server (ServO) and uses Information Retrieval techniques for computing similarity between entities. The system participated with two configurations in the 2012 Ontology Alignment Evaluation Initiative campaign. We report the very promising results obtained by the system for large biomedical ontologies alignment. ServOMap is freely available for download at http://code.google.com/p/servo/. (C) 2013 Elsevier Masson SAS. All rights reserved.