Research on Pre-warning of Copyright Risk in Information Resources

The main aim of this study is to assess the potential copyright infringement risks (CIR) in information resources by using the extension theory. At first, the analytic hierarchy process (AHP) is employed to determine the weights of the existing early warning indicators system. Secondly, a model is built based on the extension theory to evaluate the potential CIR in information resources. Finally, a real-world application is presented to show the effectiveness and usefulness of our approach. The main findings of this study are as follows: (1) the early warning extension theory model is effective in distinguishing the degree of the potential CIR in information resources; (2) the information resources of XX University is identified as located in the non-warning level, which meaning there is only a slim chance of infringing copyright. This paper introduces the extension theory into the evaluation of the potential CIR in information resources. The results contribute to providing decision support for the decision maker in handling the potential CIR in information resources.