Q-DWSO: hybrid approach for QoS-aware dynamic web services orchestration

2018 ◽  
Vol 13 (1) ◽  
pp. 30
Author(s):  
Reena Gupta ◽  
Raj Kamal ◽  
Ugrasen Suman
2008 ◽  
Vol 48 (3) ◽  
pp. 808-828 ◽  
Author(s):  
Giuseppe Fenza ◽  
Vincenzo Loia ◽  
Sabrina Senatore

2007 ◽  
pp. 117-133 ◽  
Author(s):  
Elena Sánchez-Nielsen ◽  
Sandra Martín-Ruiz ◽  
Jorge Rodríguez-Pedrianes
Keyword(s):  

Author(s):  
Liang-Jie Zhang

Web services are becoming a major research topic for computer scientists, engineers and business consulting professionals. In this preface, I would like to outline the challenges of the current Web services research topics from the modeling, interoperability, and mathematical foundations points of view. Then I will introduce some research opportunities and possible future directions for moving Web services forward via some illustrative ideas such as business semantic computing as well as killer application driven Web services research approaches. For the business semantic computing aspect I will present some example application domains such as federated Web services discovery, dynamic Web services composition and extended business collaboration.


Author(s):  
Saravanan Muthaiyah ◽  
Larry Kerschberg

This chapter introduces a hybrid ontology mediation approach for deploying Semantic Web Services (SWS) using Multi-agent systems (MAS). The methodology that the authors have applied combines both syntactic and semantic matching techniques for mapping ontological schemas so as to 1) eliminate heterogeneity; 2)provide higher precision and relevance in matched results; 3) produce better reliability and 4) achieve schema homogeneity. The authors introduce a hybrid matching algorithm i.e. SRS (Semantic Relatedness Score) which is a composite matcher that comprises thirteen well established semantic and syntactic algorithms which have been widely used in linguistic analysis. This chapter provides empirical evidence via several hypothesis tests for validating our approach. A detailed mapping algorithm as well as a Multi-agent based system (MAS) prototype has been developed for brokering Web services as proof-of-concept and to further validate the presented approach. Agent systems today provide brokering services that heavily rely on matching algorithms that at present focus mainly only on syntactic matching techniques. The authors provide empirical evidence that their hybrid approach is a better solution to this problem.


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