Ontology Similarity Measurement Method in Rapid Data Integration

Juebo Wu, Chen-Chieh Feng, Chih-Yuan Chen

Abstract

Rapid data integration has been a challenging topic in the field of computer science and its related subjects, widely used in data warehouse, artificial intelligence, biological medicine, and geographical information system etc. In this paper, we present a method of ontology similarity measurement in rapid data integration, by means of semantic ontology from high level perspective. The edit distance algorithm is introduced as the basic principle for ontology similarity calculation. A case study is carried out and the result shows that the presented method is feasible and effective.

References

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Paper Citation


in Harvard Style

Wu J., Feng C. and Chen C. (2012). Ontology Similarity Measurement Method in Rapid Data Integration . In Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-18-1, pages 237-240. DOI: 10.5220/0004037102370240


in Bibtex Style

@conference{data12,
author={Juebo Wu and Chen-Chieh Feng and Chih-Yuan Chen},
title={Ontology Similarity Measurement Method in Rapid Data Integration},
booktitle={Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA,},
year={2012},
pages={237-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004037102370240},
isbn={978-989-8565-18-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Ontology Similarity Measurement Method in Rapid Data Integration
SN - 978-989-8565-18-1
AU - Wu J.
AU - Feng C.
AU - Chen C.
PY - 2012
SP - 237
EP - 240
DO - 10.5220/0004037102370240