Tuesday 20th of February 2018

A Dichotomy Approach for Ontology Mapping

Zhi Huilai, Huo Zhanqiang and Xu Bin

Ontology mapping is the key challenge in the construction of semantic web, and a hinder in the handling of conflicts among heterogeneous data. We propose an efficient ontology mapping method which adopts a dichotomy approach. In this method, we divide original ontology into several small ones, and establish mapping between them, and at the end combine the local mapping results to get the final result. Compared with the method which doesnt use dichotomy approach, at the best case it will be reduced from n*n to n*logn. Experiments show that the accuracy of ontology mapping is also improved when the ontology has a graphical structure.

Keywords: Ontology Mapping, Semantic Web, Dichotomy Approach, Concept Similarity

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Zhi Huilai
Zhi Hui-Lai received Dr. Eng. degree in 2010 from School of Computer Science and Technology Shanghai University, China. Currently, he is a lecture in Henan Polytechnic University, China. He has published 20 papers in the field of ontology engineering and formal concept analysis. His current research field is knowledge representation and extended model of concept lattice.

Huo Zhanqiang
Huo Zhan-Qiang received the Dr. Eng. degree in circuits and system from Yanshan University (China) in 2010. He is a teacher at School of Computer Science and Technology, Henan Polytechnic University. His research interests are performance evaluation for wireless network system and vacation queuing systems.

Xu Bin
Xu Bin received Master degree in Henan University (China) in 2012. He is a engineer in Jiaozuo Municipal Center for Disease Control and Presentation. His research interests are data analysis and disease prevention.

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