作　　者： ;

机构地区： 广州大学图书馆

出　　处： 《图书情报工作》 2013年第20期116-122,共7页

摘　　要： 针对现有高校图书馆荐购系统的不足,提出整合型荐购系统的解决方案。介绍该系统从信息和工作流程等多方面进行整合,构建荐购知识库,在管理读者荐购行为的同时,自动更新荐购记录,并自动向读者进行反馈的工作机理。指出整合型荐购系统的整合原则,分析系统架构和工作流程、荐购流程,重点介绍系统功能设计,荐购书目库全文搜索的实现以及与图书馆集成管理系统的集成、与OPAC整合等实现的难点与重点。 This paper proposes the solution of all integrated recommendation system for university libraries in accontance of the insufficiency of the present systems. The recommendation system structures a recommendation knowledge data base from the integrated aspects of information and workflow. It manages the readers＇ recommendation behaviors with the recommendation constraint conditions and also upgrades the recommendation records automatically, such as the status of books ordered, books in library, books on shelves, and feedbacks to the readers automatically at the same time. The paper points out the integrated principle at the first place; then analyzes the system architecture and the workflow, the recommendation procedure; highlights the design of system functions and the accomplished difficulties and importance of the aecomplishment of recommendation bibliography database full-text search, the integration of library integrated management system, the integration of OPAC.

关 键 词： 高校图书馆 荐购系统 系统整合

领　　域： [文化科学]