Conceptual Multidimensional Data Model Based on MetaCube

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

In this paper, we propose a conceptual multidimensional data model that facilitates a precise rigorous conceptualization for OLAP. First, our approach has strong relation with mathematics by applying a new defined concept, i.e. H-set. Afterwards, the mathematic soundness provides a foundation to handle natural hierarchical relationships among data elements within dimensions with many levels of complexity in their structures. Hereafter, the multidimensional data model organizes data in the form of metacubes, the concept of which is a generalization of other cube models. In addition, a metacube is associated with a set of groups each of which contains a subset of the metacube domain, which is a H-set of data cells. Furthermore, metacube operators (e.g. jumping, rollingUp and drillingDown) are defined in a very elegant manner.
Original languageEnglish
Title of host publicationADVIS 2000 Proceedings
EditorsTatyana Yakhno
PublisherSpringer Verlag
Pages24-33
Number of pages10
VolumeLNCS 1909
ISBN (Print)3540411844, 9783540411840
DOIs
Publication statusPublished - Dec 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1909
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 102001 Artificial intelligence
  • 102006 Computer supported cooperative work (CSCW)
  • 102010 Database systems
  • 102014 Information design
  • 102015 Information systems
  • 102016 IT security
  • 102028 Knowledge engineering
  • 102019 Machine learning
  • 102022 Software development
  • 102025 Distributed systems
  • 502007 E-commerce
  • 505002 Data protection
  • 506002 E-government
  • 509018 Knowledge management
  • 202007 Computer integrated manufacturing (CIM)
  • 102033 Data mining
  • 102035 Data science

Cite this