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HYBRID MODEL FOR JIT-ORIENTED WEB SERVICE DISCOVERY
In current scenario, it is quite challenging issue to locate the exact web service in a minimum amount of time for a particular user indulged in a specific task. Web service discovery is the process of locating a machine-processable description of a web service that may have been previously unknown and that meets certain functional criteria. Many Web Service Discovery methods are failed to discover the exact services. The proposed system helps to provide the efficient web service discovery and filter the irrelevant services using Just-In-Time (JIT) philosophy. JIT provides efficient services to consumer based on their context. The ultimate aim of JIT is to eliminate the irrelevant services, so the consumer gets more relevant services. Efficiency can be enhanced through context awareness. The Services are discovered based upon user’s context information. Context awareness aims to find the exact services depend upon user’s situation, so that user requirements can be satisfied to the fullest degree. Filtering can be done using ranking the services. In the proposed framework, user context is matched with service context to eliminate the irrelevant services.
They are two different methods of web service discovery systems: Non-Semantic web service Discovery and Semantic web service Discover. In Non-Semantic web service discovery, the services are matched based on keywords. It is difficult for a user to obtain the desired services because the number of relevant services retrieved with respect to the keywords may be less and number of irrelevant services may be more. WSDL is used to describe the information about the services. The drawback of the Non-Semantic web service discovery, service consumer may confuse with the irrelevant services abundantly available that make the user fail to access the exact one. In semantic web service discovery methods, each service has semantic information about services and it will be fetched based on semantic description. Semantic Web Description Language, such as DAML+OIL and Web Ontology Language (OWL), is used to describe the semantic information.
Just-In-Time (JIT) is a manufacturing philosophy which eliminates wastage associated with time, labour, and storage space. The company gets user requirements, and collects the requirements at right time from the customer for right task to avoid the waste. The company produces based on what is needed, when it is needed and in the quantity that is needed. In recent years, JIT is eminently suited to non-manufacturing situation as well as service and administrative work situation. The ultimate aim of JIT is elimination of waste; in our context JIT will help us to eliminate irrelevant services. JIT philosophy can also be applied to web service discovery by eliminating the irrelevant services to produce efficient service to service consumer.
The proposed work is to provide a framework for efficient and flexible web service discovery using JIT philosophy. Efficiency can be improved in JIT oriented system by means of context awareness. Unwanted services are eliminated by flexible filtering. Filtering can be done by providing weightage to the services. Based on the user requirements, each service will have weightage. Low weightage have higher value. This proposed model can be implementing in e-learning system. Each learning object consider as a web services. Web services (learning objects) are offered by number of providers. Based on users’ context, the services (learning object) are matched with the user context. The irrelevant services are eliminated by context matchmaker using JIT philosophy. Each relevant service is assigning the weight based on user requirements. The higher value services are providing to consumer. The proposed system provides only desired services to learner.