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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:关系数据库是当前大学教育信息系统中使用最广泛的数据访问和组织模型。它对于促进数据集成过程具有积极意义,要从数据库中找到相应的本体,建立数据模型。本文基于形式概念分析(FCA)理论从关系数据库中发现本体,并尝试建立特定领域的数据集成模型,以发现数据和语义之间的层次关系概念。信息更客观。该方法不仅维护关系数据库表的原始数据语义关系,而且还使用FCA理论自动提取语义信息的特征,从而提高了最终数据模型的质量和可靠性。结合大学常用的MIS,本文采用该方法,试图通过关系数据库查询结果集(部分)来说明建立职称评估系统数据模型的过程,并验证了该方法的有效性。

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