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Semantics-Based Automated Service Discovery | Web Service | Semantic Web

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Semantics-Based Automated Service Discovery ABSTRACT: A vast majority of web services exist without explicit associated semantic descriptions. As a result many services that are relevant to a specific user service request may not be considered during service discovery. In this paper, we address the issue of web service discovery given nonexplicit service description semantics that match a specific service request. Our approach to semanticbased web service discovery involves semantic-based servi
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    Semantics-Based Automated Service Discovery ABSTRACT: A vast majority of web services exist without explicit associated semanticdescriptions. As a result many services that are relevant to a specific user servicerequest may not be considered during service discovery. In this paper, we addressthe issue of web service discovery given nonexplicit service description semanticsthat match a specific service request. Our approach to semanticbased web servicediscovery involves semantic-based service categorization and semanticenhancement of the service request. We propose a solution for achieving functionallevel service categorization based on an ontology framework. Additionally, weutilize clustering for accurately classifying the web services based on servicefunctionality. The semantic-based categorization is performed offline at theuniversal description discovery and integration (UDDI). The semanticenhancement of the service request achieves a better matching with relevantservices. The service request enhancement involves expansion of additional terms(retrieved from ontology) that are deemed relevant for the requested functionality.An efficient matching of the enhanced service request with the retrieved servicedescriptions is achieved utilizing Latent Semantic Indexing (LSI). Ourexperimental results validate the effectiveness and feasibility of the proposedapproach.    AIM: The main aim of the project is to Automated Service Discovery using the Semanticbased Service Categorization and Semantic based Service Selection. SYNOPSIS: A large number of web services structure a service oriented architecture andfacilitate the creation of distributed applications over the web. These web servicesoffer various functionalities in the areas of communications, data enhancement e-commerce, marketing, utilities among others. Some of the web services arepublished and invoked in-house by various organizations. These web services maybe used for business applications, or in government and military. However, thisrequires careful selection and composition of appropriate web services. The webservices within the service registry (UDDI) have predefined categories that arespecified by the service providers. Services may be listed under differentcategories. Given the large number of web services and the distribution of similarservices in multiple categories in the existing UDDI infrastructure, it is difficult tofind services that satisfy the desired functionality.    Such service discovery may involve searching a large number of categories to findappropriate services. Therefore, there is a need to categorize /web services basedon their functional semantics rather than based on the classifications of serviceproviders. Semantic categorization of web services will facilitate service discoveryby organizing similar services together. Existing service discovery approachesoften adopt keyword-matching technologies to locate the published web services.This syntax-based matchmaking returns discovery results that may not accuratelymatch the given service request. As a result, only a few services that are an exactsyntactical match of the service request may be considered for selection. Thus, thediscovery process is also constrained by its dependence on human intervention forchoosing the appropriate service based on its semantics.    ARCHITECTURE: Web ServiceUDDITieredOntologyFrameworkSemantic MatchingPre ProcessorWSDL DatasetServiceCategorizationClusteringWSDL ParameterAssociation RuleMatrix and SVDAssociation PatternDiscoverySemanticRelationRankingExpandedRequestOntologyConceptWSRequestVectorPreProcessorWSRequest
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