A Modeling Tool for Multidimensional Data using the ADAPT Notation

Author

Gluchowski, P. ; Kurze, C. ; Schieder, C.

fYear

2009

fDate

5-8 Jan. 2009

Firstpage

1

Lastpage

10

Abstract

Conceptual models are designed to express user requirements of information systems in a formal and self-explanatory manner from a business user´s point of view. Furthermore, they should contain enough information for IT staff to use them as a basis for technical deployment. Within the domain of OLAP information systems, multidimensional data models are used to translate the specific user requirements into multidimensional data structures. Application Design for Analytical Processing Technologies (ADAPT) is one of the appropriate notations to express these models on a conceptual level. Up to the publication of this paper, ADAPT lacks any formal foundation. We will contribute to solving this issue by proposing a metamodel for ADAPT and a software prototype that transforms conceptual data models into logical ones in order to ease the development of data warehouse systems.

Keywords

business data processing; data mining; data structures; data warehouses; information systems; software prototyping; ADAPT notation; Application Design for Analytical Processing Technologies; OLAP; business; data warehouse systems; information systems; multidimensional data models; multidimensional data structures; software prototype; Context modeling; Data models; Data structures; Data warehouses; Databases; Information systems; Multidimensional systems; Physics computing; Process design; Tree data structures;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on

Conference_Location

Big Island, HI

ISSN

1530-1605

Print_ISBN

978-0-7695-3450-3

Type

conf

DOI

10.1109/HICSS.2009.25

Filename

4755697