Intelligent Agent Based Model for Auction Service Discovery in Mobile E-Commerce

Internet enabled auctions are one of the popular application which basically require a web service discovery mechanism that is efficient in all perspectives. This paper focuses on auction service discovery and building repository of services for the use of E-customers. The auction service directory (repository) is developed based on the customer’s desires. Agent based Belief Desire Intention (BDI) architecture is used in this model, not only to support the service discovery process in spotty or no connectivity network environment but also to automate the process so that it enables the mobile users to complete the discovery process successfully without continuous on-line presence. The simulation results depict that the performance parameters like customer satisfaction, availability of requested services and stability in fetching the services are better in the proposed service discovery model as compared to auction based advertisement facilitated service discovery mechanism.

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Implicit Culture Framework for Behavior Transfer

Handbook of Research on Culturally-Aware Information Technology ◽

10.4018/978-1-61520-883-8.ch010 ◽

2011 ◽

pp. 213-241

Author(s):

Aliaksandr Birukou ◽

Enrico Blanzieri ◽

Paolo Giorgini

Keyword(s):

Best Practices ◽

Web 2.0 ◽

Web Service ◽

Service Discovery ◽

Community Members ◽

Community Culture ◽

Agent Based ◽

Web Service Discovery ◽

Domain Independent

People belong to different communities: business communities, Web 2.0 communities, just to name a few. In this chapter the authors show that experience acquired by people in communities constitute community culture. The authors introduce the problem of culture transfer between or within communities and propose a domain-independent approach for transferring community culture. First, the authors formalize the notion of culture, which includes behavior, knowledge, artifacts, best practices, etc. Second, using this formalism, the authors propose the Implicit Culture Framework, which is an agent-based framework for transferring behavior between community members or between communities. Finally, the authors present and evaluate a system for web service discovery developed using the Implicit Culture Framework.

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An optimal agent-based architecture for dynamic Web service discovery with QoS

2010 Second International conference on Computing, Communication and Networking Technologies ◽

10.1109/icccnt.2010.5591673 ◽

2010 ◽

Cited By ~ 14

Author(s):

T. Rajendran ◽

P. Balasubramanie

Keyword(s):

Web Service ◽

Service Discovery ◽

Agent Based ◽

Web Service Discovery ◽

Dynamic Web

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Web Service Clustering and Data Mining in SOA System

Advances in Business Information Systems and Analytics - Exploring Enterprise Service Bus in the Service-Oriented Architecture Paradigm ◽

10.4018/978-1-5225-2157-0.ch011 ◽

2017 ◽

pp. 157-177

Author(s):

Sreeparna Mukherjee ◽

Asoke Nath

Keyword(s):

Data Mining ◽

Web Services ◽

Web Service ◽

Service Discovery ◽

Software Components ◽

Discovery Process ◽

Data Mining Techniques ◽

Web Service Discovery ◽

Service Clustering ◽

The Web

The success of the web depended on the fact that it was simple and ubiquitous. Over the years, the web has evolved to become not only the repository for accessing information but also for storing software components. This transformation resulted in increased business needs and with the availability of huge volumes of data and the continuous evolution in Web services functions derive the need of application of data mining in the Web service domain. Here we focus on applying various data mining techniques to the cluster web services to improve the Web service discovery process. We end this with the various challenges that are faced in this process of data mining of web services.

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Self-Adaptive QoS-Aware Web Service Discovery using Ontology Approach

International Journal of Grid and High Performance Computing ◽

10.4018/ijghpc.2015070105 ◽

2015 ◽

Vol 7 (3) ◽

pp. 65-84 ◽

Cited By ~ 2

Author(s):

Nwe Nwe Htay Win ◽

Bao Jianmin ◽

Cui Gang ◽

Saif Ur Rehman

Keyword(s):

Web Service ◽

Service Discovery ◽

Feasible Solution ◽

Evaluation Criteria ◽

Discovery Process ◽

Web Service Discovery ◽

User Request ◽

Adaptive Qos ◽

Concept Attribute ◽

Self Adaptive

In recent years, although semantic has been widely used in service discovery mechanisms, it still needs to exploit all semantic aspects included in service documents so that the discovered service can highly be relevant with user request. Moreover, it also needs to consider self-adaptability in discovering the services which can adapt to searching conditions or parameters in order to find other suitable and potential services if no feasible solution could exactly satisfy user QoS requirements. Therefore, this paper proposes a novel self-adaptive QoS-based service discovery mechanism which can adapt the discovery process with the help of semantically structured ontology trees if unexpected results are encountered. The discovery process matches the equivalences between service advertisement and requirement using three similarity evaluation criteria namely concept, attribute and constraint similarity. This discovery process is repeated until feasible solution is found and a set of most suitable services are returned to the users. The authors prototype their system called SQoSD to evaluate the efficiency and adaptability compared with OWLS-CPS and RQSS. The experimental results prove that our mechanism is superior to the other compared mechanisms.

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