Efficient Topological OLAP on Information Networks
We propose a framework for efficient OLAP on information networks with a focus on the most interesting kind, the topological OLAP (called "TOLAP"), which incurs topological changes in the underlying networks. T-OLAP operations generate new networks from the original ones by rolling up a subset of nodes chosen by certain constraint criteria. The key challenge is to efficiently compute measures for the newly generated networks and handle user queries with varied constraints. Two effective computational techniques, T-Distributiveness and T-Monotonicity are proposed to achieve efficient query processing and cube materialization. We also provide a T-OLAP query processing framework into which these techniques are weaved. To the best of our knowledge, this is the first work to give a framework study for topological OLAP on information networks. Experimental results demonstrate both the effectiveness and efficiency of our proposed framework.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
16th International Conference on Database Systems for Advanced Applications(DASFAA)
City or Country
QU, Qiang; ZHU, Feida; YAN, Xifeng; HAN, Jiawei; YU, Philip; and LI, Hongyan.
Efficient Topological OLAP on Information Networks. (2011). 16th International Conference on Database Systems for Advanced Applications(DASFAA). Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1370