Multi-Agent Systems for Semantic Web Services Composition

2011 ◽  
pp. 324-339 ◽  
Author(s):  
Agostino Poggi ◽  
Paola Turci
Keyword(s):  
Web Services ◽  
Agent Technology ◽  
Semantic Web Services ◽  
Web Services Composition ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Services Composition ◽  
Innovative Idea ◽  
Multi Agent ◽  
Orientation Systems

The vision which is making its way in information technology is to encapsulate organizations’ functionalities within appropriate interfaces and advertise them as one or more Web services, which could be integrated, when brought into play, in workflows. This innovative idea brings with it new outstanding opportunities but also new great issues, related mainly to the ability to automatically discover and compose Web services. Several researchers belonging to the agent community are convinced that this technical area is a natural environment in which the agent technology features can be leveraged to obtain significant advantages. This chapter is aimed at briefly recalling the major results achieved by agent community and showing how their exploitation in the area of service-orientation systems could be very promising.

scholarly journals Semantic Web Services for Multi-Agent Systems Interoperability

2019 ◽  
pp. 606-616
Author(s):  
Alda Canito ◽  
Gabriel Santos ◽  
Juan M. Corchado ◽  
Goreti Marreiros ◽  
Zita Vale
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Web Services ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Brokering Web Services via a Hybrid Ontology Mediation Approach Using Multi Agent Systems (MAS)

2010 ◽  
pp. 431-444
Author(s):  
Saravanan Muthaiyah ◽  
Larry Kerschberg
Keyword(s):  
Web Services ◽  
Empirical Evidence ◽  
Hybrid Approach ◽  
Semantic Relatedness ◽  
Semantic Matching ◽  
Multi Agent Systems ◽  
Mapping Algorithm ◽  
Agent Systems ◽  
Multi Agent ◽  
Matching Techniques

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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