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

  • Yong Liu
  • Xueqing Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)


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.


Formal concept analysis Concept lattice Data integration Hasse diagram 


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyShandong UniversityJinanChina
  2. 2.Department of Computer EngineeringChangji UniversityChangjiChina

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