面向语义Web的本体学习研究

a Study on Ontology Learning for Semantic Web

语义Web的创建需要一套共同的标准概念体系,即本体(Ontology)。本体的构造手段仍然是以手工构造为主,效率和准确率都非常低,很容易导致知识获取的瓶颈。本文给出一个半自动化的需人工干预的本体学习体系结构,采用平衡的协作建模方式来构造语义Web中的本体;介绍了基于以上体系结构的本体学习的处理过程,并讨论了领域概念抽取,概念之间关系的抽取等关键技术。

Establishment of Semantic Web requires a set of common standard concept system, namely ontology.Manual ontology construction has low efficiency and accuracy which can easily result in a knowledge acquisition bottleneck. The article presents a semiautomatic ontology learning architecture with human intervention,adopting the paradigm of balanced cooperative modeling for constructing ontologies for the Semantic Web： introduces the processing cycle, and discusses several key technologies such as domain concepts extraction, concepts relation extraction.