Similarity-based Ontology Mapping in Material Science Domain

Wei Lin, Changjun Hu, Yang Li, Xin Cheng

Abstract

How to accurately retrieve data for users from massive, distributed and relational complex material databases is a major challenge in the domain of material science. Ontology mapping is regarded as a solution provider to the problem addressed. The number of material ontologies that are publicly available and accessible increases dramatically, so does the need for establishing semantic mapping among them to ensure interoperability. In this paper, we proposed a compositive similarity measure for ontology mapping. The material ontologies are generated from relational databases schemas based on rules. Then they are compared from concept name, structure and individuals. Finally, we describe a set of experiments on material science domain and show that our method propose highly accurate ontology mapping.

References

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Paper Citation


in Harvard Style

Lin W., Hu C., Li Y. and Cheng X. (2013). Similarity-based Ontology Mapping in Material Science Domain . In Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8565-54-9, pages 265-269. DOI: 10.5220/0004350902650269


in Bibtex Style

@conference{webist13,
author={Wei Lin and Changjun Hu and Yang Li and Xin Cheng},
title={Similarity-based Ontology Mapping in Material Science Domain},
booktitle={Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2013},
pages={265-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004350902650269},
isbn={978-989-8565-54-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Similarity-based Ontology Mapping in Material Science Domain
SN - 978-989-8565-54-9
AU - Lin W.
AU - Hu C.
AU - Li Y.
AU - Cheng X.
PY - 2013
SP - 265
EP - 269
DO - 10.5220/0004350902650269