Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Data warehousing in an integrated health system: building the business case
Proceedings of the 1st ACM international workshop on Data warehousing and OLAP
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
A powerful and SQL-compatible data model and query language for OLAP
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
Research Issues in Clinical Data Warehousing
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Ontology-based Integration of OLAP and Information Retrieval
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Ontology Interaction with a Patient Electronic Health Record
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Mining Associations over Human Sleep Time Series
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Artificial Intelligence in Medicine
A framework for building logical schema and query decomposition in data warehouse federations
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Automating the schema matching process for heterogeneous data warehouses
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
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Healthcare organizations practicing evidence-based medicine strive to unite their data resources in order to achieve a wider knowledge base for sophisticated research and matured decision support service. The central point of such an integrated system is a data warehouse, to which all participants have access. In order to insure a better protection of highly sensitive healthcare data, the warehouse is not created physically, but as a federated system. The paper describes the conceptual design of a health insurance data warehouse federation (HEWAF) aimed at supporting evidence-based medicine. We address a major domain-specific conceptual design issue: the integration of low-grained, time-segmented data into the traditional warehouse, whose basic grain level is higher than that of the time-segmented data. The conceptual model is based on a widely accepted international healthcare standard. We use ontologies of the data warehouse domain, as well as of the healthcare and pharmacy domains, to provide schema matching between the federation and the component warehouses.