Using Bayesian Network for Conceptual Indexing: Application to Medical Document Indexing with UMLS Metathesaurus

被引：0
|
作者：
Le, Thi Hoang Diem [1 ]
Chevallet, Jean-Pierre [1 ]
Lim, Joo Hwee [1 ]
机构：
[1] CNRS, I2R, IPAL French Singaporean Joint Lab, Singapore 119613, Singapore
来源：
ADVANCES IN MULTILINGUAL AND MULTIMODAL INFORMATION RETRIEVAL | 2008年 / 5152卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We describe a conceptual indexing method using UMLS meta-thesaurus. Concepts are automatically mapped from text using MetaMap software tool for English, and a simplified mapping tool for other languages. The concepts and their semantic links given by UMLS are used to build a Bayesien network. Retrieval process is then an inference process of probabilities or weights. Different types of relations are experimented in this model to evaluate their efficiency in retrieval.
引用
收藏
页码：631 / 636
页数：6
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