Data Warehousing Fundamentals
Conceptual Multidimensional Data Model Based on MetaCube
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
Optimization in Data Cube System Design
Journal of Intelligent Information Systems
Star-cubing: computing iceberg cubes by top-down and bottom-up integration
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Ix-cubes: iceberg cubes for data warehousing and olap on xml data
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Context-aware generalization for cube measures
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
Wisdom-aware computing: on the interactive recommendation of composition knowledge
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Semantic data markets: a flexible environment for knowledge management
Proceedings of the 20th ACM international conference on Information and knowledge management
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Multidimensional data analysis, as supported by OLAP (online analytical processing), requires the computation of many aggregate functions over a large volume of historically collected data. Meanwhile, a recent trend in data communities has been the presence of dynamic, interdisciplinary data communities in which users can find and select data from a wide range of data providers. Using this approach, we have designed the Cubing service platform, which allows rapid retrieval of warehouse cubes in a way that would be familiar to any online shopper. In such an open marketplace, cubing services play a role as a metadata layer that maps cube definitions to the underlying schema and defines how the published cubes will be queried. The proposed platform couples an efficient cube selection mechanism with semantic reasoning capabilities, capable of processing large data sources, which expressed in a variety of formalisms, into a collection of warehouse datasets that expose the native metadata in a uniform manner. Thus, the platform is easily extensible and robust to updates of both data and metadata in the warehouse datasets.