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Unlock the Value of Unstructured Data in EAM

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Book cover Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Gartner suggested that 80 % of organizational data is unstructured and has not been made available to the users. As a result, most organizations have far more data than they possibly use, yet at the same time, they do not have the quality data they really need. With the participation of an Australian Power Utility Company, this research demonstrated the value of unstructured data found in the plant incident reports (which are Word documents stored in the public directory of the exchange server) by conducting text analysis with special in-house-developed software.

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Acknowledgments

This paper was developed within the CRC for Infrastructure and Engineering Asset Management, established and supported under the Australian Government’s Cooperative Research Centres Programme. The authors gratefully acknowledge the financial support provided by the CRC.

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Authors and Affiliations

  1. University of South Australia, GPO Box 2471, Adelaide, 5001, Australia

    Jing Gao & Andy Koronios

Authors
  1. Jing Gao
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  2. Andy Koronios
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Corresponding author

Correspondence to Jing Gao .

Editor information

Editors and Affiliations

  1. World Congress on Engineering Asset Management, Seoul, Korea, Republic of (South Korea)

    Woo Bang Lee

  2. World Congress on Engineering Asset Management, Gyeongnam, Korea, Republic of (South Korea)

    Byeongkuen Choi

  3. Queensland University of Technology, Graceville, Queensland, Australia

    Lin Ma

  4. Queensland University of Technology, Sunnybank Hills, Queensland, Australia

    Joseph Mathew

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Gao, J., Koronios, A. (2015). Unlock the Value of Unstructured Data in EAM. In: Lee, W., Choi, B., Ma, L., Mathew, J. (eds) Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-06966-1_25

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  • DOI: https://doi.org/10.1007/978-3-319-06966-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02461-5

  • Online ISBN: 978-3-319-06966-1

  • eBook Packages: EngineeringEngineering (R0)

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