Using Data Semantics to Enable Automatic Composition of Web Services

2006 ◽  
Author(s):  
Danny Gagne ◽  
Marwan Sabbouh ◽  
Scott Bennett ◽  
Susan Powers
Keyword(s):  
Web Services ◽  
Data Semantics ◽  
Automatic Composition ◽  
Using Data

scholarly journals A Survey of Anomaly Detection Using Data Mining Methods for Hypertext Transfer Protocol Web Services

2015 ◽  
Vol 11 (1) ◽  
pp. 89-97 ◽  
Author(s):  
Mohsen Kakavand ◽  
Norwati Mustapha ◽  
Aida Mustapha ◽  
Mohd Taufik Abdullah ◽  
Hamed Riahi
Keyword(s):  
Data Mining ◽  
Web Services ◽  
Anomaly Detection ◽  
Hypertext Transfer Protocol ◽  
Mining Methods ◽  
Using Data ◽  
Transfer Protocol

scholarly journals WEB SEMANTICS DATA

2013 ◽  
pp. 27-30
Author(s):  
M. MARKANDEYULU ◽  
CH. JAYARAJU
Keyword(s):  
Research Area ◽  
Wide Area ◽  
Data Semantics ◽  
New Challenges ◽  
Using Data ◽  
Novel Applications ◽  
The Web ◽  
Infor Mation

Data Semantics is a wide area that continuously faces new challenges arising from the invention of new infor- mation formats and novel applications. An area that is partic- ularly challenging with respect to identifying, representing and using data semantics is the Web. This paper attempts to characterize the nature and challenges of Data Semantics on the Web as an interesting research area to be covered by the Journal on Data Semantics.

Automatic Composition of Heterogeneous Models Based on Semantic Web Services

2013 ◽  
Vol 43 (3) ◽  
pp. 339-358 ◽  
Author(s):  
Hui Huang ◽  
Ligang He ◽  
Xueguang Chen ◽  
Minghui Yu ◽  
Zhiwu Wang
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Web Services ◽  
Heterogeneous Models ◽  
Automatic Composition

Reliability-aware automatic composition approach for web services

2012 ◽  
Vol 55 (4) ◽  
pp. 921-937 ◽  
Author(s):  
Mu Li ◽  
Bo Li ◽  
JinPeng Huai
Keyword(s):  
Web Services ◽  
Automatic Composition
Sign in / Sign up

Export Citation Format

Share Document