LinkedCT：临床试验的关联数据空间
LinkedCT: A Linked Data Space for Clinical Trials
摘要：
Linked Clinical Trials（LinkedCT）项目旨在发布第一个开放的临床试验数据语义网数据源。LinkedCT公开的数据库是通过以下方式生成的：（1）将现有的临床试验数据源转换为RDF，以及（2）发现试验数据中的记录与其他几个数据源之间的语义链接。在本文中，我们讨论了这两个步骤所涉及的几个挑战，并提出了在LinkedCT中使用的方法来克服这些挑战。我们的语义链接发现的方法涉及使用国家的最先进的近似字符串匹配技术结合基于本体的语义匹配的记录，所有的声明性和易于使用的框架中进行。我们提出了一个评估我们提出的技术在几个链接发现的情况下，在LinkedCT的性能。
英文摘要：
The Linked Clinical Trials (LinkedCT) project aims at publishing the first open semantic web data source for clinical trials data. The database exposed by LinkedCT is generated by (1) transforming existing data sources of clinical trials into RDF, and (2) discovering semantic links between the records in the trials data and several other data sources. In this paper, we discuss several challenges involved in these two steps and present the methodology used in LinkedCT to overcome these challenges. Our approach for semantic link discovery involves using state-of-the-art approximate string matching techniques combined with ontology-based semantic matching of the records, all performed in a declarative and easy-to-use framework. We present an evaluation of the performance of our proposed techniques in several link discovery scenarios in LinkedCT.
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