摘要
本体映射被认为是异构信息集成的关键,研究者们提出了很多本体映射的方法,论文主要从三个方面说明人工智能思想在本体映射中的应用。1)基于元素文本相似度计算的方法,往往会借助于自然语言处理技术,对文本进行相关处理。2)本体映射问题本质上是一个二元分类问题,可以借助于机器学习的方法提高本体映射的质量。3)利用聚类算法将本体分块,从而将大规模本体映射任务划分成若干个子任务,有效地解决了大规模本体映射的挑战。
Ontology matching is considered as the key to heterogeneous information integration,and researchers have proposed many approaches of ontology matching.This paper mainly illustrates the application of the artificial intelligence idea in the ontology matching process from three aspects.First,the elements text based similarity computing approach often process of related text with the help of natural language processing technology.Second,the nature of ontology matching problem is one of the binary classification problems,which can use machine learning methods to improve the quality of ontology matching.Third,the ontology partition method based on clustering algorithm,which divides a large-scale ontology matching task into several sub-tasks,effectively solves the problem of large-scale ontology matching challenge.
出处
《舰船电子工程》
2015年第7期71-74,104,共5页
Ship Electronic Engineering
关键词
本体映射
自然语言处理
机器学习
聚类
ontology matching
nature language processing
machine learning
clustering
