Abstract:

In order to resolve the combination problems of Web service for complicated tasks, inspired by the characteristics of system emergence and selflearning in biological neuroendocrine and immune system, a method of immune learning Web service emergence is proposed. Mobile agent is designed as a biological entity with immune behaviors and acts for Web services. Emergent bioentity network is constructed through bioentities affinity matching and provides emergent services composition, in the process, service can be added or removed dynamically in service emergence. Based on immune principle and selflearning mechanism, affinity matching service combination is viewed as antibody for memory. When system encounters the same or similar service requests, it directly forms the new secondary response or updates antibody library to form the new intermediate antibody, and completes the response in a more rapid and energyserving way. Through experiment verification, the method can complete selforganizing dynamic combination, independent learning and management, and improve the response speed and efficiency of services.

Key words: web services composition;semantic web service;emergence;affinity matching;immune learning