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A Metadata Classification Assisted Scientific Data Extraction Architecture

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Advances in Grid and Pervasive Computing (GPC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6104))

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Abstract

Data extraction and information retrieval from a great volume of data set always is a tedious and difficult work. Therefore, an effective and efficient technology for searching for desired data becomes increasingly important. Due to metadata with certain attributes characterizing the data files, to extract data with help of metadata can be expectably to simplify the work. In our previous work, we have proposed a Metadata Classification (MC) to improve significantly the performance of scientific data extraction. In this paper, we will propose a scientific data extraction architecture that is based on the assistance of classified metadata. The architecture is built by utilizing mediator/wrapper to develop a scientific data extracting system to help oceanographer to analyze the ocean’s ecology by means of temperature, salinity and other information. The result shows that the architecture with the help of metadata classification can extract user’s desired data effectively and efficiently.

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References

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Author information

Authors and Affiliations

  1. Dept. of Computer Science and Information Engineering, National Taipei U., 151, University Road, Sanhsia, Taipei County, 237, Taiwan

    Yue-Shan Chang & Hsiang-Tai Cheng

Authors
  1. Yue-Shan Chang
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  2. Hsiang-Tai Cheng
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Elettronica e Sistemistica (DEIS), Università di Bologna, Viale Risorgimento 2, 40136, Bologna, Italy

    Paolo Bellavista

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, 974, Hualien, Taiwan, Republic of China

    Ruay-Shiung Chang

  3. Department of Electronic Engineering, National Ilan University, 260, Ilan, Taiwan , Republic of China

    Han-Chieh Chao

  4. National Dong Hwa University, 974, Hualien, Taiwan, Republic of China

    Shin-Feng Lin

  5. Faculty of Science Informatics Institute, University of Amsterdam, 1098, Amsterdam, XG, The Netherlands

    Peter M. A. Sloot

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© 2010 Springer-Verlag Berlin Heidelberg

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Chang, YS., Cheng, HT. (2010). A Metadata Classification Assisted Scientific Data Extraction Architecture. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_70

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  • DOI: https://doi.org/10.1007/978-3-642-13067-0_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13066-3

  • Online ISBN: 978-3-642-13067-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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