A cognitive map-based decision support model for Web resource management

The Internet is a newly born media with versatile potentialities. With the explosion of data on networks, one of the important issues in network applications is how to efficiently manage Web resources (referring to data resources on the Web) to substantially enhance the utility of them so as to provide better service to users. Considering the complexity and inter-correlation of Web resources, the cognitive map is introduced as a powerful tool in this paper. We propose a cognitive map-based decision support model, by which we evaluate the utilization rate of Web resources and analyze the correlation of user accesses. Furthermore, we divide the users of the Website into different user groups based on cognitive maps. Consequently, we extract various information details to support decisions on Web resource management.