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AXSM: An Automated Tool for XML Schema Matching

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Proceedings of International Conference on ICT for Sustainable Development

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 408))

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Abstract

For data migration, management, restructuring, and reorganizing operations, there is a growing demand of XML schema matching techniques. Most of the XML schemas are heterogeneous as they are independently designed by schema designers for individual customer requirements. Schema matching becomes a difficult task when schemas are large and hence there is a need for automated and accurate XML schema matching solutions to ease the process of mapping and migration. Considerable research has been done for XML schema matching automation. However, fully-automated solution is yet to be achieved. This paper makes an attempt in the direction by presenting an automated tool to match heterogeneous XML schemas with better results as compared to a standard tool COMA++.

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Author information

Authors and Affiliations

  1. Veer Narmad South Gujarat University, Surat, Gujarat, India

    Dhaval Joshi

  2. Department of Computer Science, Veer Narmad South Gujarat University, Surat, Gujarat, India

    S. V. Patel

Authors
  1. Dhaval Joshi
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  2. S. V. Patel
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Corresponding author

Correspondence to Dhaval Joshi .

Editor information

Editors and Affiliations

  1. Dept of Comp Sci Engg, Anil Neerukonda Ins Tech & Sci, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Sabarkantha, Sabar Institute of Technology, Sabarkantha, Gujarat, India

    Amit Joshi

  3. Studies and Management, Narsinhbhai Institute of Computer, Kadi, Gujarat, India

    Nilesh Modi

  4. Computer Studies and Management, Narsinhbhai Institute of, Kadi, Gujarat, India

    Nisarg Pathak

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© 2016 Springer Science+Business Media Singapore

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Joshi, D., Patel, S.V. (2016). AXSM: An Automated Tool for XML Schema Matching. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 408. Springer, Singapore. https://doi.org/10.1007/978-981-10-0129-1_32

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  • DOI: https://doi.org/10.1007/978-981-10-0129-1_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0127-7

  • Online ISBN: 978-981-10-0129-1

  • eBook Packages: EngineeringEngineering (R0)

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