Graph OLAP: Towards Online Analytical Processing on Graphs

OLAP (On-Line Analytical Processing) is an important notion in data analysis. Recently, more and more graph or networked data sources come into being. There exists a similar need to deploy graph analysis from different perspectives and with multiple granularities. However, traditional OLAP technology cannot handle such demands because it does not consider the links among individual data tuples. In this paper, we develop a novel graph OLAP framework, which presents a multi-dimensional and multi-level view over graphs. The contributions of this work are two-fold. First, starting from basic definitions, i.e., what are dimensions and measures in the graph OLAP scenario, we develop a conceptual framework for data cubes on graphs. We also look into different semantics of OLAP operations, and classify the framework into two major subcases: informational OLAP and topological OLAP. Then, with more emphasis on informational OLAP (topological OLAP will be covered in a future study due to the la...

• Type: Conference
• Year: 2008
• Where: ICDM
• Authors: Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu
• Keywords: Data Mining, Graph Olap, ICDM 2008, OLAP, Topological Olap