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Authors: Juebo Wu ; Chen-Chieh Feng and Chih-Yuan Chen

Affiliation: National University of Singapore, Singapore

ISBN: 978-989-8565-18-1

Keyword(s): Ontology Similarity, Rapid Data Integration, Ontology Mapping.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Cloud Computing ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Mobile Software and Services ; Ontologies and the Semantic Web ; Sensor Networks ; Services Science ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Software Engineering ; Software Engineering Methods and Techniques ; Symbolic Systems ; Telecommunications ; Web Services ; Wireless Information Networks and Systems

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.

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Paper citation in several formats:
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

@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},
}

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

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