International Journal of Engineering and Technology

Web service discovery is developing as a conspicuous technology both in technical and business domains. Due to the swift growth in the number of web service registries and repositories, discovering the web services based on user request is a major concern. Though progressive and cutting-edge techniques are proposed to address these challenges in conservative environment, still it is in its critical stage at the semantic discovery scenario, particularly when the quality attributes are included. The retrieved web services, at times may not be desirable for the user and the objective of the user desirable service discovery fails. This paper addressed the issue of discovering user relevant services, which reduce the semantic gap between the services requested and the service provided using lattice based clustering technique. A service discovery model with novel similarity measure is proposed to discover user relevant services. Further to enhance the performance of the proposed discovery model, a 2-Tier User Preference Model (UPM) is proposed to address the qualitative requirements of the service request. The Tier I of the UPM qualifies the QoS parameters, whereas the Tier II quantifies the qualified parameters. The test bed comprising of about a thousand services from different domains and a model UDDI are implemented to evaluate the proposed techniques in terms of precision, recall and f-measure. The merits of the proposed techniques are demonstrated by means of improved user desirability of the discovered services.