Soft computing techniques for web services brokering

被引：5

作者：

Ladner, Roy ^{[2
]}

Petry, Frederick ^{[1
]}

Gupta, Kalyan Moy ^{[3
]}

Warner, Elizabeth ^{[1
]}

Moore, Philip ^{[4
]}

Aha, David W. ^{[5
]}

机构：

[1] USN, Res Lab, Stennis Space Ctr, MS 39529 USA

[2] Naval Meteorol & Oceanog Command, Stennis Space Ctr, MS USA

[3] Knexus Res Corp, Springfield, VA USA

[4] ITT Ind, Alexandria, VA USA

[5] USN, Res Lab, Washington, DC 20375 USA

来源：

SOFT COMPUTING | 2008年 / 12卷 / 11期

关键词：

case-based classifier; rough sets; information gain; MetOc; ontology; Web Services;

D O I：

10.1007/s00500-008-0277-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1089 / 1098

页数：10

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