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Complex Object-Based Multidimensional Modeling and Cube Construction

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a multidimensional model and a language to construct cubes for the purpose of on-line analytical processing. Both the multidimensional model and the cube model are based on the concept of complex object which models complex entities of real world. The multidimensional model is presented at two layers: the class diagram layer and the package layer. Both layers are used by a projection operation that aims at extracting cubes: at the package diagram layer, the projection dynamically assigns the roles of fact and dimensions to the complex objects of the multidimensional model whereas at the class diagram layer, it allows designing the measures. We also provide operations that optimize the construction of new cubes by using existing ones. The set of operations for cube construction are expressed by formal operators, thus forming a language. To show the feasibility of our multidimensional model and operators, we present implementation details of a real case study.
Wydawca
Rocznik
Strony
203--238
Opis fizyczny
Bibliogr. 43 poz., rys.
Twórcy
autor
  • High School of Computer Science, Oued-Smar, Algiers
autor
  • Lumière University - Lyon 2, 5 avenue Pierre Mendès-France, 69676 Bron Cedex
autor
  • Lumière University - Lyon 2, 5 avenue Pierre Mendès-France, 69676 Bron Cedex
Bibliografia
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  • [3] Abelló, A., Samos, J., Saltor, F.: Understanding Analysis Dimensions in a Multidimensional Object-Oriented Model, Proceedings of the 3rd Intl. Workshop on Design and Management of Data Warehouses, DMDW’2001, Interlaken, Switzerland, June 4, 2001, 2001, page 4.
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  • [5] Abelló, A., Samos, J., Saltor, F.: YAM2: a multidimensional conceptual model extending UML, Inf. Syst., 31(6), 2006, 541–567.
  • [6] Bimonte, S., Tchounikine, A., Miquel, M.: GeoCube, a Multidimensional Model and Navigation Operators Handling Complex Measures: Application in Spatial OLAP, Proceedings of the 4th International Conference on Advances in Information Systems (ADBIS’06), Izmir, Turkey (T. M. Yakhno, E. J. Neuhold, Eds.), 4243, Springer, 2006, 100–109.
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  • [13] Cuzzocrea, A., Saccá, D., Serafino, P.: A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes, Data Warehousing and Knowledge Discovery, 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings (A. M. Tjoa, J. Trujillo, Eds.), 4081, Springer, 2006, 106–119.
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  • [18] Gray, J., Chaudhuri, S., Bosworth, A., Layman, A., Reichart, D., Venkatrao, M., Pellow, F., Pirahesh, H.: Data Cube: A Relational Aggregation Operator Generalizing Group-by, Cross-Tab, and Sub Totals, Data Min. Knowl. Discov., 1(1), 1997, 29–53.
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  • [21] Jensen, M. R., Møller, T. H., Pedersen, T. B.: Specifying OLAP Cubes On XML Data, Proceedings of the 13th International Conference on Scientific and Statistical Database Management, July 18-20, 2001, George Mason University, Fairfax, Virginia, USA, IEEE Computer Society, 2001, 101–112.
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  • [25] Lin, B., Hong, Y., Lee, Z.-H.: DataWarehouse Performance, Encyclopedia of DataWarehousing and Mining, Second Edition, IGI Publishing, Hershey, PA, USA, 2009, 580–585.
  • [26] Luján-Mora, S.: Multidimensional Modeling using UML and XML, 12th Workshop for PhD Students in Object-Oriented Systems, 16th European Conference on Object-Oriented Programming, June 10-14 2002, Málaga, Spain, 2548, 2002, 48–49.
  • [27] Luján-Mora, S., Trujillo, J., Song, I.-Y.: Multidimensional Modeling with UML Package Diagrams, Proceedings of the 21st International Conference on Conceptual Modeling Conceptual Modeling (ER’02), Tampere, Finland (S. Spaccapietra, S. T. March, Y. Kambayashi, Eds.), 2503, Springer, 2002, 199–213.
  • [28] Malinowski, E.: Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions, chapter Improving Expressive Power in Modeling Data Warehouse and OLAP Applications, IGI Global, Hershey, New York, 2010, 16–40.
  • [29] Malinowski, E., Zimányi, E.: Conceptual Modeling for Data Warehouse and OLAP Applications, in: Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), IGI Global, 2009, 293–300.
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  • [32] Pedersen, T. B., Jensen, C. S.: Multidimensional Data Modeling for Complex Data, Proceedings of the 15th International Conference on Data Engineering, 23-26 March 1999, Sydney, Australia, 1999, 336–345.
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  • [34] Ravat, F., Teste, O., Tournier, R., Zurfluh, G.: Algebraic and Graphic Languages for OLAP Manipulations, International Journal of Data Warehousing and Mining, 4(1), 2008, 17–46.
  • [35] Ravat, F., Teste, O., Tournier, R., Zurfluh, G.: Top Keyword: An Aggregation Function for Textual Document OLAP, DaWaK, 2008, 55–64.
  • [36] Romero, O., Abelló, A.: On the Need of a Reference Algebra for OLAP, 9th International Conference on Data Warehousing and Knowledge Discovery (DAWAK’07), Regensburg, Germany (I. Y. Song, J. Eder, T. M. Nguyen, Eds.), Lecture Notes in Computer Science, Springer, 2007, 99–110.
  • [37] Trujillo, J.: The GOLD Model: An OO Multidimensional Data Model for Multidimensional Databases, Object-Oriented Technology, ECOOP’99 Workshop Reader, ECOOP’99 Workshops, Panels, and Posters, Lisbon, Portugal, June 14-18, 1999, Proceedings, 1743, Springer, 1999, 24–30.
  • [38] Trujillo, J., Palomar, M.: An Object-Oriented Approach to Multidimensional Database Conceptual Modeling, ACM First International Workshop on Data Warehousing and OLAP DOLAP 1998, Bethesda, Maryland, USA, ACM, 1998, 16–21.
  • [39] Trujillo, J., Palomar, M., Gómez, J.: Applying-Object Oriented Conceptual Modeling Techniques to the Design of Multidimensional Databases and OLAP Applications, Web-Age Information Management, First International Conference, WAIM 2000, Shanghai, China, June 21-23, 2000, Proceedings, 1846, Springer, 2000, 83–94.
  • [40] Tsois, A., Karayannidis, N., Sellis, T. K.: MAC: Conceptual data modeling for OLAP, DMDW, 39, CEURWS. org, 2001, page 5.
  • [41] Vaisman, A. A., Mendelzon, A. O.: A Temporal Query Language for OLAP: Implementation and a case Study, 8th International Workshop on Database Programming Languages (DBPL’01), Frascati, Italy (G. Ghelli, G. Grahne, Eds.), 2397, Springer, 2001, 78–96.
  • [42] Vassiliadis, P.: Modeling Multidimensional Databases, Cubes and Cube Operations, 10th International Conference on Scientific and Statistical Database Management, Proceedings, Capri, Italy, July 1-3, 1998, IEEE Computer Society, 1998, 53–62.
  • [43] Vrdoljak, B., Banek, M., Rizzi, S.: Designing Web Warehouses from XML Schemas, Data Warehousing and Knowledge Discovery, 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5, 2003, Proceedings, 2737, Springer, 2003, 89–98.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b6d27dd2-5b9e-448b-a881-a1b602db7c32
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