Abstract
The multidimensional analysis based on data cube has been growing interest. However existing data cube model usually does not have the semantics of attributes and hence the analysis usually provides results with raw numbers and ignores the real meanings of these numbers. An example result is that the total sales of PC in this year are above 2000. The semantics of sale performance, high or low, is not clear and that is not easy to be understood for decision makers. The semantic data cube model with linguistic semantics is presented in this paper. The semantic data cube uses fuzzy set to represent the linguistic semantics of the dimensions and measures of data cube. The computation of semantic data cube is studied and the serial and parallel computation algorithms are presented. The experiments on the synthetic datasets show that the algorithms are scalable and efficient.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Palpanas, T.: Knowledge Discovery in Data Warehouses. SIGMOD Record 3, 88–100 (2000)
Gray, J., Bosworth, A., Layman, A., Pirahesh, H.: Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-total. In: Su, S.Y.W. (ed.) Proceedings of Int. Conf. on Data Engineering, pp. 152–159. IEEE Computer Society Press, Los Alamitos (1996)
Lakshmanan, L.V.S., Pei, J., Zhao, Y.: QC-Trees: an efficient Summary Structure for semantic OLAP. In: Halevy, A.Y., Ives, Z.G., Doan, A. (eds.) Proceedings of ACM SIGMOD Int. Conf. on Management of Data, pp. 64–75. ACM Press, New York (2003)
Feng, L., Dillon, T.S.: Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses. IEEE Transactions on Knowledge and Data Engineering 1, 86–102 (2003)
Beyer, K., Ramakrishnan, R.: Bottom-up computation of sparse and Iceberg CUBE. In: Delis, A., Faloutsos, C., Ghandeharizadeh, S. (eds.) Proceedings of ACM SIGMOD Int. Conf. on Management of Data, pp. 359–370. ACM Press, New York (1999)
Zhuge, H.: Resource Space Grid: Model, Method and Platform. Concurrency and Computation: Practice and Experience 14, 1385–1413 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, Y., Yin, J. (2005). The Computation of Semantic Data Cube. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_74
Download citation
DOI: https://doi.org/10.1007/11590354_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30510-1
Online ISBN: 978-3-540-32277-1
eBook Packages: Computer ScienceComputer Science (R0)