Soft computing techniques for web services brokering

Authors:
Roy Ladner;Frederick Petry;Kalyan Moy Gupta;Elizabeth Warner;Philip Moore;David W. Aha
Affiliations:
Naval Meteorology and Oceanography Command, Stennis Space Center, MS, USA;Naval Research Laboratory, Stennis Space Center, MS, USA;Knexus Research Corp., Springfield, VA, USA;Naval Research Laboratory, Stennis Space Center, MS, USA;ITT Industries, Alexandria, VA, USA;Naval Research Laboratory, Washington, DC, USA
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Year:
2008

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Cited 2

Exploiting Codified User Task Knowledge to Discover Services at Design-Time

International Journal of Systems and Service-Oriented Engineering
Exploiting Codified User Task Knowledge to Discover Services at Design-Time

International Journal of Systems and Service-Oriented Engineering

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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.