摘要
文中针对语义网中同领域内的本体异构现象,以及无法实现领域内本体库共享的问题,提出利用人工智能研究中的机器学习算法来解决。通过概念匹配映射使异构本体的语义更好地得到映射,并在果品领域经过实例的应用,其效果还是客观的。在本体映射匹配研究中,机器学习算法发挥了很大的作用,对语义重叠的概念进行高效率的推理匹配映射,为语义网本体异构的环境下实现信息在语义上的共享互操作提供了一种解决的途径。
In order to solve the problem of ontology heterogeneous in semantic web, it is proposed the algorithm of machine learning of artificial intelligence. Get the better match of semantic meaning through the mapping of concept,and use in the domain of fruit with living example and objective effect, In the research of ontology mapping and match,machine learning plays a very significant role for the efficient matching of reasoning mapping to the semantic overlap concept. Besides,machine learning provides an approach to solve the ontology heterogeneous to share the information in semantic web.
出处
《计算机技术与发展》
2009年第12期81-84,88,共5页
Computer Technology and Development
基金
国家"星火计划"项目(2004EA850069)
关键词
语义WEB
机器学习算法
决策树算法
分类树
概念映射
semantic web
machine learning algorithm
decision tree algorithm
classification tree
concept mapping
