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Metadata-Based Semantic Query in Multilingual Databases

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Information and Decision Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 701))

Abstract

The retrieval of semantically equivalent information from various databases having internationalization feature is a major challenge for the data scientists. The criticality of this problem revolves around translation of the query in the native language into some target language despite the structural differences of the schema. The metadata generated and maintained by any relational database technology offers a scope for realizing such a seamless mapping with the help of industry offered translators. This paper proposes a model with such a capability and demonstrates the equivalence of forward and backward translations across various languages using WordNet, Microsoft Translator tools while presenting the results.

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Author information

Authors and Affiliations

  1. CVR College of Engineering, Hyderabad, India

    Ch. V. S. Satyamurty & M. Raghava

  2. JNTU Kakinada, Kakinada, India

    J. V. R. Murthy

Authors
  1. Ch. V. S. Satyamurty
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  2. J. V. R. Murthy
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  3. M. Raghava
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Corresponding author

Correspondence to Ch. V. S. Satyamurty .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Departamento de Engenharia Mecânica, Universidade do Porto, Porto, Portugal

    Joao Manuel R.S. Tavares

  3. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  4. School of Computer Application, KIIT University, Bhubaneswar, Odisha, India

    J. R. Mohanty

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© 2018 Springer Nature Singapore Pte Ltd.

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Satyamurty, C.V.S., Murthy, J.V.R., Raghava, M. (2018). Metadata-Based Semantic Query in Multilingual Databases. In: Satapathy, S., Tavares, J., Bhateja, V., Mohanty, J. (eds) Information and Decision Sciences. Advances in Intelligent Systems and Computing, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-10-7563-6_26

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  • DOI: https://doi.org/10.1007/978-981-10-7563-6_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7562-9

  • Online ISBN: 978-981-10-7563-6

  • eBook Packages: EngineeringEngineering (R0)

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