Automatic semantic classification and categorization of web services in digital environment

Classification of web services through semantic service discovery of a similar event will be the feature services. However, to improve the selection and matching process is not enough. The existing service discovery approaches often published keyword matching to find web services practices. In this paper we propose a framework for automatic service classification and categorization of web service process in digital environment. The proposed framework semantically perform automated service discovery and domain selection using domain-knowledge ontology based classification in a digital environment to improvise the service categorization. It is efficiently able to classify and annotated service information by means of specific service domain knowledge. In order to thoroughly evaluate the performance of our proposed semantic based crawlers for automatic service discovery, we measure the Precision, Mean Average Precision, Recall and F-measure Rates.