A Cross-Platform Digital Resource Integration System

Searching efficiency in information classification is very important and this paper presents a novel parameter model based on the experiences from digital library resources database to enhance the result accuracy rate and resolve the problem, which most literature searching systems cannot run well in different operating systems. On the basement of the mapping relationships between Dublin core fields and MARC fields, a cross-platform prototype system is designed and implemented. Some experiments validated that it was a beneficial attempt for knowledge acquisition.