alexa Modeling Location Preferences in Service Composition Using Distributed Knowledgebase
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

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Research Article

Modeling Location Preferences in Service Composition Using Distributed Knowledgebase

Pandey RS*and Pathak R

Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

*Corresponding Author:
Ravi Shankar Pandey
Birla Institute of Technology, Mesra
Ranchi, Jharkhand, India
Tel: 05322687363
Fax: 05322687554
E-mail: [email protected]

Received date: September 23, 2016; Accepted date: October 27, 2016; Published date: November 01, 2016

Citation: Pandey RS, Pathak R (2016) Modeling Location Preferences in Service Composition Using Distributed Knowledgebase. J Comput Sci Syst Biol 9: 178-184. doi:10.4172/jcsb.1000236

Copyright: © 2016 Pandey RS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Successful Composition of a web service in dynamic environment is a big challenge and important research issue. Several service designers may produce similar or different services. In automatic service selection environment service may fail due to functional dissimilarity and non-functional property of the services (QoS) attributes. In this context, any service can be preferred for particular location. These preferences act as QoS attribute and play important role to minimize failure of the service. Knowledge of these location preferences also helps in dynamic service selection. In composition, services are present in heterogeneous environment with different location preferences. In this paper, we have developed a knowledge base for the location preferences, which we have termed as Location Affinity. We have also incorporated semantic matching phenomenon along with affinity matching of the service for distributed environment using distributed description logic.


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