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Chinese Semantic Web and Web Science Conference

CSWS 2014: The Semantic Web and Web Science pp 146–155Cite as

Ontology Matching Tuning Based on Particle Swarm Optimization: Preliminary Results

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 480))

Abstract

An ontology matching system can usually be run with different configurations to optimize the system’s performance, namely precision, recall, or F-measure, depending on the given ontologies to be matched. Changing the configuration has potentially high impact on the obtained matching results. This paper applies particle swarm optimization to automatically tune these configuration parameters through proactively sampling the parameters space and find high-impact parameters and high-performance parameter settings. We show the effectiveness and efficiency of our approach through extensive evaluation on the OAEI 2009 tasks using Lily ontology matching system.

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References

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61472077).

Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Southeast University, Nanjing, China

    Pan Yang & Peng Wang

  2. School of Information Science and Engineering, Southeast University, Nanjing, China

    Pan Yang

  3. College of Software Engineering, Southeast University, Nanjing, China

    Peng Wang, Li Ji, Xingyu Chen & Kai Huang

  4. Communication Station of Unit 95028, P.L.A., Wuhan, China

    Bin Yu

Authors
  1. Pan Yang
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  2. Peng Wang
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  3. Li Ji
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  4. Xingyu Chen
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  5. Kai Huang
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  6. Bin Yu
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Corresponding author

Correspondence to Peng Wang .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Dongyan Zhao

  2. Guangdong University of Foreign Studies, Guangzhou, China

    Jianfeng Du

  3. East China University, Shanghai, China

    Haofen Wang

  4. Southeast University, Nanjing, China

    Peng Wang

  5. Wuhan University, Wuhan, China

    Donghong Ji

  6. The University of Aberdeen, Aberdeen, United Kingdom

    Jeff Z. Pan

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© 2014 Springer-Verlag Berlin Heidelberg

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Yang, P., Wang, P., Ji, L., Chen, X., Huang, K., Yu, B. (2014). Ontology Matching Tuning Based on Particle Swarm Optimization: Preliminary Results. In: Zhao, D., Du, J., Wang, H., Wang, P., Ji, D., Pan, J. (eds) The Semantic Web and Web Science. CSWS 2014. Communications in Computer and Information Science, vol 480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45495-4_13

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  • DOI: https://doi.org/10.1007/978-3-662-45495-4_13

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45494-7

  • Online ISBN: 978-3-662-45495-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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