Non first normal form relations: An algebra allowing data restructuring
Journal of Computer and System Sciences
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
ACM Transactions on Database Systems (TODS)
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Object-oriented concepts, databases, and applications
Object-oriented concepts, databases, and applications
STORM: a statistical object representation model
SSDBM V Proceedings of the fifth international conference on Statistical and scientific database management
Managing complex objects in an extensible relational DBMS
VLDB '89 Proceedings of the 15th international conference on Very large data bases
Object-oriented databases
OLAP and statistical databases: similarities and differences
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Mefisto: A Functional Model for Statistical Entities
IEEE Transactions on Knowledge and Data Engineering
A Logical Approach to Multidimensional Databases
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Modeling Multidimensional Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Inclusion of New Types in Relational Data Base Systems
Proceedings of the Second International Conference on Data Engineering
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Multiple Representation Modelling and Querying
IGIS '94 Proceedings of the International Workshop on Advanced Information Systems: Geographic Information Systems
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Summarizability in OLAP and Statistical Data Bases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
Usability of Compromise-Free Statistical Databases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
Multi-Scale Partitions: Application to Spatial and Statistical Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Extending Geographic Databases for a Query Language to Support Queries Involving Statistical Data
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
Representing spatiality in a conceptual multidimensional model
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Towards a spatial multidimensional model
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Research in data warehouse modeling and design: dead or alive?
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
A set of aggregation functions for spatial measures
Proceedings of the ACM 11th international workshop on Data warehousing and OLAP
Piet-QL: a query language for GIS-OLAP integration
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Content based similarity of geographic classes organized as partition hierarchies
Knowledge and Information Systems
What Is Spatio-Temporal Data Warehousing?
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
When Spatial Analysis Meets OLAP: Multidimensional Model and Operators
International Journal of Data Warehousing and Mining
Spatial OLAP and Map Generalization: Model and Algebra
International Journal of Data Warehousing and Mining
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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.