面向Web信息资源的领域本体模型自动构建机制的研究

领域本体的构建是本体工程研究与应用的重要内容。面向网络Web信息资源,获取领域相关文本信息,通过对文本的概念分析,构建领域本体模型。提出一套本体自动构建机制,该本体构建基于数据挖掘和机器学习技术,内容主要包括基于贝叶斯(Bayes)分类原理;提出多个分类器方式的概念分类过程和算法;提出概念关联分析和概念自学习算法,建立本体原型;提出面向OWL本体模型的转换映射机制,构建基于OWL的本体模型。此外,还提出了从网络资源获取、领域本体建模到本体实施应用的一套完整的本体构建和应用实施的解决方案。

Research on Mechanism of Automatic Construction of Ontologies for Web Information Resources

To build domain ontology is an important part of ontology research and application areas. hhis paper proposed the process and algorithm of automatic construction of ontologies with data mining and machine learning technologies for web information resources. During the procedure of ontology construction, this paper firstly presented the process and algorithm of concepts classification with muti classifiers based on Bayes classification principle, then discussed the algorithms of concepts-associated analysis and concept self-learning to build the ontology prototype, whereafter presented ontology transforming mechanism from ontology prototype to OWL ontology. This paper also proposed a whole system solution from mining web pages, building domain ontology to the end of ontology application.