〔摘 要〕針對數字圖書館資源服務系統積累中的大量數字資源訪問數據,研究并實現基于數據倉庫及OLAP技術的數字資源服務分析系統。首先建立了與資源服務系統分離的數據倉庫,并對數據倉庫進行多維建模;然后對多維數據模型進行切片、切塊、旋轉、上鉆和下鉆等多維操作,從多角度對數字資源訪問數據分析;最后采用前端開發(fā)工具開發(fā)了可視化的多維分析和數據展示平臺。實踐表明,基于數據倉庫的數字資源服務分析可以圖書館管理層提供有效的決策支持。
〔關鍵詞〕數字資源服務;數據倉庫;模型設計;聯機分析處理;多維數據模型
〔中圖分類號〕TP311.13 〔文獻標識碼〕A 〔文章編號〕1008-0821(2009)11-0153-05
Digital Resources Service Analysis System Based on Data Warehouse and OLAPXiong Yongjun Chen Chunying
(Library,Central South University,Changsha 410083,China)
〔Abstract〕Based on the large amount history data accumulated in the digital resources service system,the digital resources service analysis system based on data warehouse and OLAP technology was studied and implemented.First,the independent data warehouse of the digital resources service was established and the multi-dimensional model was set up to make multi-analysis.And then the multi-analysis analysed such as slice,dice,rotate,roll-up,and drill-down are made in order to analyze the data from multi-dimension.On this basis,the front-end development tool was used to develop the display platform for the data,which could be used for integration of visualization analysis.The experiments showed that the digital resources service analysis system could help the administrators of library to make the efficient decision supports.
〔Keywords〕digital resources service;data warehouse(DW);model design;OLAP;multi-dimensional datasets
隨著信息技術的發(fā)展和信息資源的快速增長,數字圖書館信息資源服務模式由以“資源”為中心轉變?yōu)槌梢浴坝脩簟睘橹行牡膫€性化知識服務模型[1]。國內許多圖書館建立了自己的個性化數字資源服務平臺MyLibrary。系統積累了大量的讀者對數字資源的訪問數據。但目前的數字資源個性化信息服務系統注重的是信息的檢索、定制和推送等個性化服務功能,不能對資源訪問數據進行深層次的分析與挖掘,不能很好為較高層次的管理者和決策者提供決策支持。

從實際需求來說,圖書館管理者和決策者急需對數字資源的訪問歷史數據進行智能分析,了解網上讀者對數字資源訪問情況,從中發(fā)現讀者興趣和資源的關聯,為數字資源的采訪和讀者個性化服務提供宏觀指導。……