A Service Retrieval Assistance Mechanism Based on Association Mining

During the process of service retrieval, it´s often difficult for users to give exact retrieval requirements because users are not familiar with the complex description mechanism of services. This limits the function of ontology service models and leads to lower completion, precision, efficiency and easiness of service retrieval. It is urgent to have an efficient method to help the users. The paper introduces a self-adaptive learning algorithm based on association mining theory in data mining field to learn from the retrieval history and assist users in giving high quality retrieval requirements. The experiment results show the effectivity of the proposed algorithm