scholarly journals Case-based Reasoning for Web Service Discovery and Selection

2016 ◽  
Vol 321 ◽  
pp. 89-112 ◽  
Author(s):  
Alan De Renzis ◽  
Martin Garriga ◽  
Andres Flores ◽  
Alejandra Cechich ◽  
Alejandro Zunino
2014 ◽  
Vol 0 (1) ◽  
pp. 42-47
Author(s):  
Dmytro S. Pukhkaiev ◽  
Oleksii Oleksenko ◽  
Tetiana M. Kot ◽  
Larysa S. Globa ◽  
Alexander Schill

2011 ◽  
pp. 604-622
Author(s):  
Taha Osman ◽  
Dhavalkumar Thakker ◽  
David Al-Dabass

With the rapid proliferation of Web services as the medium of choice to securely publish application services beyond the firewall, the importance of accurate, yet flexible matchmaking of similar services gains importance both for the human user and for dynamic composition engines. In this article, we present a novel approach that utilizes the case based reasoning methodology for modelling dynamic Web service discovery and matchmaking, and investigate the use of case adaptation for service composition. Our framework considers Web services execution experiences in the decision making process and is highly adaptable to the service requester constraints. The framework also utilizes OWL semantic descriptions extensively for implementing both the components of the CBR engine and the matchmaking profile of the Web services.


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