Automatic and Structure-Preserved Ontology Mapping Based on Exponential Random Graph Model

摘要：

Ontology has been widely used as the context representation in ubiquitous environment or smart spaces. However, different ontology representations are adopted in different spaces which exhibit great variation both in the vocabulary and level of detail. In this paper, we propose an automatic and structure preserved ontology mapping method based on exponential random graph model, termed ERGMap. Various representations of the sports ontology are adopted to evaluate the mapping accuracy of ERGMap. Our simulation results show that ERGMap achieves more than 86％ of the optimal accuracy when two representations to be mapped are highly related and more than 76％ of optimal accuracy when the representations are loosely related. To our best knowledge, ERGMap is the first method proposed, which performs full automatic ontology mapping process and generates a structure-preserved ontology as its output.

关键词： Ontology Ubiquitous Computing Ontology Mapping Automatic Ontology Mapping Exponential Random Graph Model

作者: Cheng-Lin Yang Ren-Hung Hwang

作者单位: Department of Computer Science and Information Engineering,National Chung-Cheng University

会议类型: 国际会议

会议名称: The First IEEE International Conference on Ubi-Media Coputing and Workshops(第一届泛媒体处理国际会议)

会议地点: 兰州

会议语种:英文

在线出版日期: 2008-07-15（万方平台首次上网日期，不代表论文的发表时间）