Improved Semantic Similarity Algorithm Based on Ontology

被引：0
|
作者：
Wei, Junying [1 ]
Zhong, Peisi [1 ]
Guo, Chunfen [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Mech & Elect Engn, Qingdao 266510, Peoples R China
来源：
MECHANICAL, MATERIALS AND MANUFACTURING ENGINEERING, PTS 1-3 | 2011年 / 66-68卷
关键词：
ontology; semantic distance; semantic similarity;
D O I：
10.4028/www.scientific.net/AMM.66-68.709
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The measuring of semantic similarity is the key technique in information retrieval. Based on the common semantic similarity algorithm between concepts, this paper makes use of semantic weighted distance and introduces such factors as node density, concept attribute and concept information content, and presents an improved semantic similarity algorithm to make the measuring semantic similarity more accurate. Through experimental calculation and analysis, the semantic similarity obtained from the improved algorithm can describe more accurately the similar relation between ontology concepts, and correspond to a higher degree with human subjective judgment.
引用
收藏
页码：709 / 714
页数：6
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