Application of Digital Content Management System Based on Data Warehouse and Data Mining Technology

At present, digital content has permeated every part of human social life, and has become a valuable resource. However, while the vast amounts of information continue to occur, human beings are persecuted by the loss of information, especially those carrying human culture and civilization. The prolonged preservation technology of digital content faces enormous challenges. Therefore, the managers should consider how to supervise, manage and utilize the digital content for a long time by the scientific and reasonable measures. OAIS provides a conceptual model for the long-term preservation of digital content, it satisfy the basic need of the long-term preservation of digital content from the aspect of system function. But in the practice of preservation, the explicit data model is necessary, moreover, the model should meet the management need of whole life cycle in the long-term preservation of digital content, meanwhile it's necessary to choose the coding formats of media files. In this paper, firstly, we study the digital content management data model and propose a 7-layer reference model of digital content management according to the hierarchical idea. And then using data mining techniques, we implicit in all the associated data layer data extraction, comparison, analysis, and selectively format digital information for maintenance and preservation according to the appropriate standards. Finally, we process the corresponding data resources through data warehouse and online analytical. At the same time, establish the function of the system of internal links and with the external interface, and a series of high-level services on top of these interfaces.