Automatic and structure-preserved ontology mapping based on exponential random graph model

Cheng Lin Yang*, Ren Hung Hwang

*此作品的通信作者

研究成果: Conference contribution同行評審

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.

原文English
主出版物標題Proceedings - 2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008
頁面63-68
頁數6
DOIs
出版狀態Published - 2008
事件2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008 - Lanzhou University, China
持續時間: 31 7月 20081 8月 2008

出版系列

名字Proceedings - 2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008

Conference

Conference2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008
國家/地區China
城市Lanzhou University
期間31/07/081/08/08

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