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Soft computing techniques for web services brokering

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Abstract

To enhance and improve the interoperability of meteorological Web Services, we are currently developing an Integrated Web Services Brokering System (IWB). IWB uses a case-based classifier to automatically discover Web Services. In this paper, we explore the use of rough set techniques for selecting features prior to classification. We demonstrate the effectiveness of this feature technique by comparing it with a leading non-rough set (Information Gain) feature selection technique.

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Authors and Affiliations

  1. Naval Meteorology and Oceanography Command, Stennis Space Center, MS, USA

    Roy Ladner

  2. Naval Research Laboratory, Stennis Space Center, MS, USA

    Frederick Petry & Elizabeth Warner

  3. Knexus Research Corp., Springfield, VA, USA

    Kalyan Moy Gupta

  4. ITT Industries, Alexandria, VA, USA

    Philip Moore

  5. Naval Research Laboratory, Washington, DC, USA

    David W. Aha

Authors
  1. Roy Ladner
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  2. Frederick Petry
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  3. Kalyan Moy Gupta
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  4. Elizabeth Warner
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  5. Philip Moore
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  6. David W. Aha
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Corresponding author

Correspondence to Frederick Petry.

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Ladner, R., Petry, F., Gupta, K.M. et al. Soft computing techniques for web services brokering. Soft Comput 12, 1089–1098 (2008). https://doi.org/10.1007/s00500-008-0277-0

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  • DOI: https://doi.org/10.1007/s00500-008-0277-0

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