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Chapter 74 A FCA-Based Approach to Data Integration in the University Information System

机译:第74章基于FCA的数据集成方法在大学信息系统中的数据集成方法

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The relational database is the most widely used data access and organization model in the current system of university education information. It has positive significance for promoting the process of data integration, to be found from the database the corresponding ontology, to build a data model. In this paper, based on the theory of formal concept analysis (FCA) discovers the ontology from a relational database, and tries to establish the data integration model in domain-specific, in order to discover the concept of hierarchical relationships of the data and semantic information more objectively. This method maintains not only the original data semantic relationships of relational database tables, but also the use of the theory of FCA to automatically extract the characteristics of semantic information to improve the quality and reliability of the final data model. Combined with common MIS in the university, the paper uses the proposed method, tries to demonstrate the process of building a title appraisal system data model from relational database query result set (section), and verifies the effectiveness of the method discussed.
机译:关系数据库是在大学教育信息系统当前使用最广泛的数据访问模式和组织模式。它具有促进数据整合的过程中,从数据库中找到相应的本体,建立数据模型的积极意义。在本文中,基于形式概念分析(FCA)的理论发现从关系数据库的本体,并尝试建立在特定领域的数据集成模型,以发现数据和语义的层次关系的概念信息更客观。这种方法保持不仅关系数据库表的原始数据的语义关系,而且还使用FCA理论的自动提取语义信息的特性,提高最终数据模型的质量和可靠性。与在大学共同MIS结合时,本文采用所提出的方法,试图表明构建从关系数据库查询的结果集(部分)标题评价系统数据模型的过程中,并验证所讨论的方法的有效性。

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