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Concept Document Repository to Support Research of the Coal Industry Development Forecasting

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6422))

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Abstract

The paper shows the necessity of creating a Document Repository. The analysis of composition and structure of stored documents to be used for research of coal industry development is made. Main principles of Document Repository are formulated. Problems of document integration are outlined. Issues related to implementation of the Document Repository are touched upon.

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References

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Author information

Authors and Affiliations

  1. Energy Systems Institute, SB RAS, Lermontov street, 130, 664033, Irkutsk, Russia

    Liudmila Takayshvili

Authors
  1. Liudmila Takayshvili
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., 106, Taipei, Taiwan

    Shyi-Ming Chen

  3. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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Takayshvili, L. (2010). Concept Document Repository to Support Research of the Coal Industry Development Forecasting. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16732-4_48

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  • DOI: https://doi.org/10.1007/978-3-642-16732-4_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16731-7

  • Online ISBN: 978-3-642-16732-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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