RDB2Graph: A Generic Framework For Modeling Relational Databases As Graphs

Information

Title RDB2Graph: A Generic Framework For Modeling Relational Databases As Graphs
Authors Kang Min Yoo, Sungchan Park, Sang-goo Lee
Year 2014 / 11
Keywords relational database, graph, graph modeling
Acknowledgement SRC
Publication Type International Conference
Publication 4th Joint International Semantic Technology (JIST2014) conference
Link url

Abstract

Graph data mining is highly versatile, as it applies not only to graph data but to relational data, as long as it can be represented as pairs of relationships. However, modeling RDBs as graphs using existing methods is limited in describing semantics of the relational data. In this paper, we propose a two-phased graph-modeling framework that converts any RDB to a directed graph with richer semantics than previously allowed. We implemented the framework and used it to analyze medical records of diabetes patients.