INTELLIGENT DATA-COLLABORATION MECHANISM UNDER THE DISTRIBUTED APPLICATION ENVIRONMENT
Jian-Long Ding1, Weifang Chen1, Ji Gao2
1Zhejiang Shuren University, College of Information Science, Hangzhou, China
2Zhejiang University, The Artificial Intelligence Research Institute, Hangzhou, China
Because of the complexity, the dynamic and uncertainty of the distributed applications environment, the data-collaboration crisis caused by isolated information island is serious day by day. Through the establishment of Data Cooperation-based Virtual Organization (DCVO), is conducive to meet the realistic demand of the on-demand dynamic data collaboration, which led to the distributed application to carry out the intelligent data collaboration in effective control, as well as realize the intelligent data retrieval across application domain. Through research of the Distributed Application System-based Data Cooperation Architecture (DASDA) , to straighten out the related technology and method of distributed collaborative, from the semantic specification (including the application of domain ontology, relational databases and ontology mapping mechanism, cooperative data transmission standard), rational of data-collaboration (policy representation and configuration), collaborative service personalization, data structure and model of collaborative content level and so on, to provides an important reference to solve the eliminate problem such as semantic fuzzy, dynamic expansion, uncontrollable, cooperative security, recall and precision of conflict which caused in the process of the data-collaboration.