An AIS Meta-model Based On Semantic Web
With the network becoming more and more popular, the network security is a very important problem. AIS (Artificial Immunology System) is a new way to resolve information security problem for its particular features: multiformity, adaptability, distributive etc. Though AIS has greatly developed, but the matching between arithmetic and model is not good. People always have to find best arithmetic for some model. In the other hand, people have published all kinds of model of AIS. But, these models have not shared an a intergrated framework. In this peper, an AIS meta-model based on semantic web is presented which can integrate several AIS models and algorithms. Secondly, this model has accurate semantic and share knowledge. It has three portions: the feature model, meta-language and implement component.
artificial limmunology system meta-model semantic web DAML
Tao Li Yunrui Sima
College of Computer Science, Wuhan University of Science and Technology, China Advanced Technology Center Microsoft, China
国际会议
2006现代科技国际研讨会(The International Workshop on Modern Science and Technology in 2006)
北京
英文
389-393
2006-04-01（万方平台首次上网日期，不代表论文的发表时间）