基于使用语义定义和相似度计算进行术语比较的新术语服务。
New terminology services based on term comparison using semantic definitions and similarity computation.
作者信息
Bousquet Cédric, Jaulent Marie-Christine, Le Bozec Christel, Degoulet Patrice
机构信息
INSERM ERM 0202, Faculté de médecine Broussais-Hôtel-Dieu, Paris, France.
出版信息
Stud Health Technol Inform. 2003;95:385-90.
As medical information can be encoded within different terminological systems, terms comparison is an important issue to allow communication between applications. In description logics, terms are compared by the means of semantic definitions and subsumption relations. Similarity is also a convenient method for term comparison but is not supported by terminology servers which implement subsumption relations. We present new terminology services built on a semantic distance that could help for semantic mediation between medical applications ranging from semi-automatic encoders to data mining tools. These services are 1) comparison between terms 2) k-nearest-neighbors 3) support for concept coding 4) automatic generation of similarity tables 5) distance based queries 6) support for clustering.
由于医学信息可以在不同的术语系统中进行编码，术语比较是实现应用程序之间通信的一个重要问题。在描述逻辑中，术语通过语义定义和包含关系进行比较。相似性也是术语比较的一种便捷方法，但实现包含关系的术语服务器并不支持。我们提出了基于语义距离构建的新术语服务，这有助于在从半自动编码器到数据挖掘工具等各种医学应用之间进行语义中介。这些服务包括：1）术语之间的比较；2）k近邻；3）对概念编码的支持；4）相似性表的自动生成；5）基于距离的查询；6）对聚类的支持。
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