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Return to Online Analytic Processing
The semantic approach brings significant improvement to the effectiveness and efficiency to data warehousing and OLAP. We are developing SOCQET, a systematic approach for effective and efficient semantic summarization for data warehousing and OLAP. Our demo has four major parts. First, we will present the techniques to materialize quotient cubes using examples. We will analyze why such a materialization method is effective and efficient. We will also illustrate the storage efficiency of the storage techniques using real data sets. Second, we will demonstrate how various queries can be answered using a materialized quotient cube. Examples and experiments will be used to illustrate the costs of queryanswering. Third, we will present a set of extensive performance studies on the proposed techniques and related methods proposed previously. The experimental results on both real and synthetic data sets will indicate the benefits of the new techniques. Last, we will showcase a prototype quotient cube-based data warehousing and OLAP system, including a quotient cube engine and an interactive user interface. In particular, we will demonstrate how a quotient cube facilitates the interactive exploration and visualization of a data cube. The audience will be encouraged to play with the demo and experience the exciting tour using semantic navigation services.
@inproceedings {DBLP:conf/sigmod/LakshmananPZ03a, author = {Laks V. S. Lakshmanan and Jian Pei and Yan Zhao}, booktitle = {SIGMOD Conference}, title = {SOCQET: Semantic OLAP with Compressed Cube and Summarization.}, pages = {658}, year = {2003}, url = {db/conf/sigmod/sigmod2003.html#LakshmananPZ03a}, ee = {http://www.acm.org/sigmod/sigmod03/eproceedings/papers/dem02.pdf}, crossref = {conf/sigmod/2003}, bibsource = {DBLP, http://dblp.uni-trier.de} }  ©2004 Association for Computing Machinery |
