智能检索下的数据库书目控制探讨

Discussion on Bibliographic Control of Database Under Intelligent Retrieval

新信息环境下,数据库尤其是文献数据库、专题数据库数量不断攀升,面临着重复搭建、检索不便、开发利用不足等问题。依据目录学书目控制的原理,运用本体、语义组织、机器学习等新技术方法,研制数据库总目及其索引,对数据库加以有效的书目控制和利用,已成为亟待解决的问题。文章首先利用概念分析法确定数据库、文献数据库、书目控制、索引等核心概念及概念间的关系。其次论证数据库总目及其索引研制的意义,运用案例分析法等方法分析数据库总目及其索引研制的难点,包括文献数据库的搜集与审查、元数据与索引的研制和专业稳定的组织支撑。最后提出相应的对策:明晰总目定位,开放搜集文献数据库;研制高质量的元数据与索引;组建专业稳定的项目团队。

In the new information environment,the number of databases,especially document databases and thematic databases,is constantly increasing,which is facing the problems such as duplicate construction,inconvenient retrieval and mining,and insufficient development and utilization.According to the principles of bibliographic control,it has become an urgent problem to develop the database catalog and its index,and to control and utilize the database effectively with the help of new technologies such as ontology,semantic organization and machine learning.This paper first uses concept analysis method to determine the core concepts of database,document database,bibliographic control,index and the relationship between the concepts.And then it demonstrates the significance of the development of the database catalog and its index,uses case analysis method to analyze the difficulties of the development of the database catalog and its index,including collection and review of document database,development of metadata and index,professional and stable organizational support.Finally,corresponding countermeasures are proposed:defining general catalog orientation and opening up the collection of literature databases,developing high-quality metadata and index,and establishing a professional and stable project team.