Cooperation with Geographic Databases

Cooperation with Geographic Databases

Elaheh Pourabbas (Istituto di Analisi dei Sistemi ed Informatica - C. N. R., Italy)
Copyright: © 2003 |Pages: 40
DOI: 10.4018/978-1-59140-053-0.ch013
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The purpose of this chapter is to create cooperation between geographic databases (GDBs) and multidimensional databases (MDDBs), which are considered as the most promising and efficient information technologies for supporting decision making. We focus on the common key elements between geographic and multidimensional data which allow effective support in data cooperating. These elements are basically time and space, which are present implicitly or explicitly in MDDB and are modeled on the dimensions, Time and Location. Thus, because GDBs are primarily concerned with geographic data, we will focus on space as a bridge element for cooperating MDDBs and GDBs. We propose an approach that extends the geographic data structure through special attributes, called binding attributes, in order to describe all phenomena represented by MDDBs. This extension will make it possible to answer more specific “OLAP-based” queries within GDBs without modifying the physical organization of data in both environments.

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Table of Contents
Maurizio Rafanelli
Chapter 1
Basic Notions  (pages 1-45)
Maurizio Rafanelli
This chapter presents the basic notions regarding multidimensional (aggregate) databases by referring to different definitions given for them in the... Sample PDF
Basic Notions
Chapter 2
Arie Shoshani
The term “multidimensional databases” refers to data that can be viewed conceptually in a multidimensional space, where each dimension represents... Sample PDF
Multidimensionality in Statistical, OLAP and Scientific Databases
Chapter 3
Riccardo Torlone
A variety of multidimensional data models have recently been proposed by both academic and industry communities. but consensus on formalism or even... Sample PDF
Conceptual Multidimensional Models
Chapter 4
Hierarchies  (pages 91-115)
Elaheh Pourabbas, Maurizio Rafanelli
In this chapter we will focus on the rules of aggregation hierarchies in analysis dimensions of a cube. We give an overview of the related works on... Sample PDF
Chapter 5
Maurizio Rafanelli
In this chapter the author proposes the different approaches for defining operators able to manipulate this multidimensional structure. In... Sample PDF
Operators for Multidimensional Aggregate Data
Chapter 6
Alberto O. Mendelzon, Alejandro A. Vaisman
In spite of the obvious importance of time in data warehousing and OLAP, current commercial systems do not support tracking the history of a data... Sample PDF
Time in Multidimensional Databases
Chapter 7
Mirek Riedewald, Divyakant Agrawal, Amr El Abbadi
Data cubes are ubiquitous tools in data warehousing, online analytical processing, and decision support applications. Based on a selection of... Sample PDF
Dynamic Multidimensional Data Cubes
Chapter 8
Stefano Paraboschi, Giuseppe Sindoni, Elena Baralis, Ernst Teniente
This chapter presents materialized views in the context of multidimensional databases (MDDBs). A materialized view is a view whose content is... Sample PDF
Materialized Views in Multidimensional Databases
Chapter 9
Leonardo Tininini
A powerful and easy-to-use querying environment is certainly one of the most important components in a multidimensional database, and its... Sample PDF
Querying Multidimensional Data
Chapter 10
Cirtis E. Dyreson, Torben Bach Pedersen, Christian S. Jensen
While incomplete information is endemic to real-world data, current multidimensional data models are not engineered to manage incomplete information... Sample PDF
Incomplete Information in Multidimensional Databases
Chapter 11
Francesco M. Malvestuto, Marina Moscarini
When answering queries that ask for summary statistics, the query-system of a multidimensional database should guard confidential data, that is, it... Sample PDF
Privacy in Multidimensional Databases
Chapter 12
Andrea Cali, Domenico Lembo, Maurizio Lenzerini, Riccardo Rosati
While the main goal of a data warehouse is to provide support for data analysis and management’s decisions, a fundamental aspect in design of a data... Sample PDF
Source Integration for Data Warehousing
Chapter 13
Elaheh Pourabbas
The purpose of this chapter is to create cooperation between geographic databases (GDBs) and multidimensional databases (MDDBs), which are... Sample PDF
Cooperation with Geographic Databases
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