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.