The invention provides a semantization service generation
system and method based on a graph mining technique. The
system is built based on a traditional
server and comprises multiple techniques including
natural language participles, graph mining, clustering, semantization analysis, service procedure generation and service execution. After a user collects and analyzes application requirements with a
natural language or text description, key words are naturally extracted, service requirements are analyzed,
usable services and combination
modes thereof are mined in a built
Web service tree graph, and ultimately, in a
system integration operation environment, the services are automatically carried out and execution results are fed back. The system and method have the advantages that operations are directly carried out on the requirements of the user for the
natural language or the text description, semantization features are emphasized, the service execution environment is integrated, the service operation results are directly obtained, use habits and requirements of the user are met, widening of a user range is facilitated, automatic operation and maintenance of the system are achieved, and the system and method are suitable for the distributive execution environment.