A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
A methodological framework for data warehouse design
Proceedings of the 1st ACM international workshop on Data warehousing and OLAP
Context interchange: new features and formalisms for the intelligent integration of information
ACM Transactions on Information Systems (TOIS)
Towards quality-oriented data warehouse usage and evolution
Information Systems - The 11th international conference on advanced information systems engineering (CAiSE*
Designing data marts for data warehouses
ACM Transactions on Software Engineering and Methodology (TOSEM)
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
IEEE Internet Computing
Global Viewing of Heterogeneous Data Sources
IEEE Transactions on Knowledge and Data Engineering
Causal Maps: Theory, Implementation, and Practical Applications in Multiagent Environments
IEEE Transactions on Knowledge and Data Engineering
Summarizability in OLAP and Statistical Data Bases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
A Method for Demand-Driven Information Requirements Analysis in Data Warehousing Projects
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 8 - Volume 8
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Ontologies for Software Engineering and Software Technology
Ontologies for Software Engineering and Software Technology
Designing ETL processes using semantic web technologies
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
The Description Logic Handbook
The Description Logic Handbook
Computers in Industry - Special issue: Collaborative environments for concurrent engineering
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Architectures for enterprise integration and interoperability: Past, present and future
Computers in Industry
Implementing an Inference Engine for RDFS/OWL Constructs and User-Defined Rules in Oracle
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Discovering functional dependencies for multidimensional design
Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP
Dynamic Business Networks: A Headache for Sustainable Systems Interoperability
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
OntoDB: an ontology-based database for data intensive applications
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
A methodology and tool for conceptual designing a data warehouse from ontology-based sources
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
Improving the development of data warehouses by enriching dimension hierarchies with WordNet
ODBIS'05/06 Proceedings of the First and Second VLDB conference on Ontologies-based databases and information systems
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
DWOBS: data warehouse design from ontology-based sources
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
GEM: requirement-driven generation of ETL and multidimensional conceptual designs
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Monitoring morphisms to support sustainable interoperability of enterprise systems
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
A versioning management model for ontology-based data warehouses
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Building data warehouses with semantic web data
Decision Support Systems
Generic Methodology for Semantic Data Warehouse Design: From Schema Definition to ETL
INCOS '12 Proceedings of the 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems
Query Recommendations for OLAP Discovery-Driven Analysis
International Journal of Data Warehousing and Mining
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The spectacular growth of the Internet and its widespread adoption by worldwide corporations lead to an enormous quantity of heterogeneous, distributed and autonomous data sources. To facilitate the access to these huge amounts of data and make these sources interoperable, two technologies may be combined: data warehousing and ontologies. Data warehouses are designed to aggregate data and allow decision makers in these companies to obtain accurate, complete and up to date information. In the past decade, Data Warehouse Technology (DWT) has been successfully applied in several domains such as telecommunication, retail, finance and many other industries. It supports a wide range of applications throughout the enterprise. The DWT has been largely used to offer sustainable solutions for enterprises. On the other hand, ontologies are models for specifying the semantics of concepts used by various heterogeneous sources in a well defined and unambiguous way. Ontologies exist in various domains (E-commerce, Engineering, Tourism, etc.) and are used to increase interoperability between sources. They may be used to improve communication between decision makers and users collaborating together, by specifying the semantics of the used concepts. In this paper, we propose a methodology for designing data warehousing applications from various sources. Each source has its local ontology referencing a global one. The presence of ontologies has three main contributions: (i) each owner of each source may use it to define his/her requirements, (ii) it reduces most important types of conflicts that may exist in sources and requirements (schematic and semantic) and (iii) it facilitates the sustainable urbanization of the target data warehouse. Our methodology is supported by a case tool facilitating the tasks of data warehouse designers.