Modeling collaborative behavior using cooperation contracts
Data & Knowledge Engineering
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Reasoning about Summarizability in Heterogeneous Multidimensional Schemas
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Summarizability in OLAP and Statistical Data Bases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
OLAP Databases and Aggregation Functions
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
Using abstract state machines for distributed data warehouse design
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
YAM2: a multidimensional conceptual model extending UML
Information Systems
Hierarchies in a multidimensional model: from conceptual modeling to logical representation
Data & Knowledge Engineering - Special issue: WIDM 2004
From Federated Databases to a Federated Data Warehouse System
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Two approaches to the integration of heterogeneous data warehouses
Distributed and Parallel Databases
SAMSTAR: An Automatic Tool for Generating Star Schemas from an Entity-Relationship Diagram
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Multi-level domain modeling with m-objects and m-relationships
APCCM '09 Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling - Volume 96
Extending visual OLAP for handling irregular dimensional hierarchies
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Modeling techniques for multi-level abstraction
The evolution of conceptual modeling
Incremental integration of data warehouses: the hetero-homogeneous approach
Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP
Multilevel business process modeling: motivation, approach, design issues, and applications
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Using domain ontologies as semantic dimensions in data warehouses
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Business model ontologies in OLAP cubes
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Detecting summarizability in OLAP
Data & Knowledge Engineering
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Data Warehouses facilitate multi-dimensional analysis of data from various data sources. While the original data sources are often heterogeneous, current modeling and implementation techniques discard and, thus, cannot exploit these heterogeneities. In this paper we introduce Hetero-Homogeneous Hierarchies to model dimension hierarchies and cubes with inherent heterogeneities. Hetero-homogeneous hierarchies are hierarchies that are heterogeneous in regard to the schema of sub-hierarchies and homogeneous in regard to a minimal common schema shared by all sub-hierarchies. Sub-dimension-hierarchies can be specialized to contain additional levels and additional non-dimensional attributes. Sub-cubes can be specialized towards additional measures, more fine-grained facts, and differing units of measure. We show how scale differences and conflicts due to multi-dimensional inheritance can be avoided and solved. We provide a formal definition of our approach together with a query/cube algebra.