e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Title : Semantic Web Service Clustering Using Concept Lattice: Multi Agent Based Approach
Authors : D. Lubin Balasubramanian, S.R.Murugaiyan, G. Sambasivam, T. Vengattaraman, P. Dhavachelvan
Keywords : Web Services, Clustering, FCA (Formal Concept Analysis), Lattice, Semantics
Issue Date : Oct-Nov 2013
Abstract :
Web Services is the software functionality or the service functionality which was been exposed in the external world by an abstract interface through the network, described using the standard WSDL language, that was been published by the service provider in UDDI business register office, where the requestors can access their required services. Whereas, the web services are nowadays playing a major role in the current scenario and in which the web service discovery has become a real problem, since lack of the public registries to publish and organize the fairly huge number of existing services. The major issue here is to find the relevant web services among the large number of services. Another major issue is to discover the services in less time. One way to address the above issues is to cluster the available services. The existing approaches clusters using lattices based on the operations provided by the web services. The semantic information is not considered in the existing approaches. In this model, we address the issue of semantically clustering the web services using lattices based on multi-agent systems. Lattice based clustering is achieved using Formal Concept Analysis (FCA). A concept lattice is feasible for small to medium size collections. The size of the concept lattice can grow exponentially with respect to the number of context. They cluster web services based on lattices using Formal Concept Analysis (FCA).
Page(s) : 3699-3714
ISSN : 0975-4024
Source : Vol. 5, No.5