A New Semantic Model for Domain-Ontology Learning

摘要：

　　Nowadays,ontology has been widely used in computer science.With the rapid development of it,Ontology Learning(OL)becomes one of the main research topics.However,with the current technology,all existing OL(from unstructured data source)methods rely on predefined knowledge about a specific domain.In this case,its more like an ontology enrichment process rather than a learning process.In this paper,a new learning model will be introduced.Rather than working on language level,this new approach focusing on structure level and trying to identify why and how a particular structure can represent a specific thing.Therefore,it allows the OL process not to rely on the predefined knowledge about a specific domain which people want to build an ontology for.

关键词： Ontology Ontology Learning OWL XYZ Model

作者: Jizheng Wan John Barnden

作者单位: School of Computer Science,University of Birmingham,Birmingham,UK,B15 2TT;Corporate ICT,Birmingham C School of Computer Science,University of Birmingham,Birmingham,UK,B15 2TT

会议类型: 国际会议

会议名称: The 9th International Conference on Pervasive Computing and Application(ICPCA 2014)(第九届全国普适计算学术会议、第九届全国人机交互联合学术会议)

会议地点: 南昌

会议语种:英文

页码: 1-17

在线出版日期: 2013-09-26（万方平台首次上网日期，不代表论文的发表时间）