Approach to measure semantic similarity of GO terms

doi:10.3778/j.issn.1002-8331.2010.26.036

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (26): 114-116.DOI: 10.3778/j.issn.1002-8331.2010.26.036

• 数据库、信号与信息处理 • Previous Articles Next Articles

Approach to measure semantic similarity of GO terms

WEI Wei^1，2，XIANG Yang²

1.College of Information Science and Media，Jinggangshan University，Ji’an，Jiangxi 343009，China
2.School of Electronic Information and Engineering，Tongji University，Shanghai 201804，China

Received:2009-06-18 Revised:2009-08-04 Online:2010-09-11 Published:2010-09-11
Contact: WEI Wei

一种基因本体术语间的语义相似度计算方法

魏韡^1，2，向阳²

1.井冈山大学信息科学与传媒学院，江西吉安 343009
2.同济大学电子与信息工程学院，上海 201804

通讯作者: 魏韡

Abstract

Abstract: Calculating the semantic similarity of GO terms is an important application of GO.The information content based and the distance based method only calculate the semantic similarity of terms respectively.This paper proposes a method of directed acyclic graphs of terms to measure the semantic similarity of GO terms.The method not only considers the contribution of ancestor related terms，but also considers the location of term and the semantic relation of terms.Experimental results show that method has higher degree of accuracy.

Key words: semantic similarity, Gene Ontology（GO）, Directed Acycline Graph（DAG）

摘要： 计算基因本体中的术语的语义相似度是基因本体的一个重要应用。基于信息量和基于距离的语义相似度计算方法都只从各自的角度计算术语间语义相似度。提出了基于基因本体中术语所在有向无环图的计算方法。该方法既考虑了术语的祖先对其的信息量的影响，又考虑了术语所在的位置以及术语间的语义联系类型。实验结果表明该方法有较高的准确度。

关键词: 语义相似度, 基因本体, 有向无环图

CLC Number:

TP311

WEI Wei^1，2，XIANG Yang². Approach to measure semantic similarity of GO terms[J]. Computer Engineering and Applications, 2010, 46(26): 114-116.

魏韡^1，2，向阳². 一种基因本体术语间的语义相似度计算方法[J]. 计算机工程与应用, 2010, 46(26): 114-116.

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Approach to measure semantic similarity of GO terms

一种基因本体术语间的语义相似度计算方法

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