Semantic web services (SWS) have emerged as a new paradigm for meaningful data retrieval in a distributed environment. Literature review reveals that SWS have automated the information processing which was missing in current state-of-the-art technologies. This paper investigates that as an application moves from single tenant to multi-tenancy, it substantially increases the volume of homogenous as well as heterogeneous services, thereby making service discovery much more complicated. It is for these reasons this research work intends to overcome the drawbacks of services discovery with the integration of semantic technologies. We present a goal based service discovery framework offers semiautomated service discovery of homogenous as well as heterogeneous services from huge volume of services. Based on the proposed framework novel application and domain ontologies are created. A prototype system was also developed, which validated the proposed framework by integrating Web Service Execution Environment (WSMX) and Internet Reasoning Service (IRS-III). Finally, it presented preliminary results of experiential evaluation based on services discovery and mediation scenarios. Results demonstrate that by considering proposed approach required time in service discovery, and human efforts can be reduce. © 2011 ACADEMY PUBLISHER.