Ontology Mapping on Multi-ontology Graphs via Optimizing Ranking Function

被引：0
作者：
He, Xiangguang [2 ]
Wang, Yaya [2 ]
Gao, Wei [1 ]
机构：
[1] Yunnan Normal Univ, Dept Informat, Kunming 650500, Peoples R China
[2] Binzhou Polytech, Dept Informat Engn, Binzhou 256603, Peoples R China
来源：
EMERGING RESEARCH IN ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE | 2012年 / 315卷
基金：
中国国家自然科学基金;
关键词：
ontology; ontology mapping; ranking; objective function; NDCG measure;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Ontology mapping is an important research topic in information retrieval and widely used in many fields. By analyzing the ranking algorithm by optimizing NDCG measure, we propose the new algorithm for ontology mapping. Via the ranking learning algorithm, the multi-ontology graphs are mapped into a line consisting of real numbers. The similarity between two concepts then can be measured by comparing the difference between their corresponding real numbers. The experimental results show that the proposed new algorithm is of high accuracy and efficiency on ontology similarity calculation in physics education.
引用
收藏
页码：258 / +
页数：3
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