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Data warehouses are systems which integrate heterogeneous sources to support the decision making process. Data from the Web is becoming increasingly more important as sources for these systems, which has motivated the extensive use of XML to facilitate data and metadata interchange among heterogeneous data sources from the Web and the data warehouse. However, the business information that data warehouses...
Information security is a crucial aspect for enterprises that has to be considered as a strong requirement from the early stages of the development process and data warehouses (DWs) manage highly important information used to make strategic decisions which has to be protected from unauthorized users. In order to develop secure DWs we have proposed a model driven architecture (MDA) composed of several...
Data warehouses (DWs) manage crucial information for enterprises which must be protected from unauthorized accesses. The question of which security issues are present in all stages of the DW design is therefore of great importance when considering these security constraints in design decisions. We have used the model driven architecture (MDA) approach to propose an MDA architecture with which to develop...
The use of ontologies for representing knowledge provides us with organization, communication and reusability. Information security is a serious requirement which must be carefully considered. Concepts and relations managed by any scientific community need to be formally defined and ontological engineering supports their definition. In this paper, the method of systematic review is applied with the...
Data Warehouses (DW) manage historical information for the decision making process and for enterprises, it is vitally important to consider security requirements from the earliest stages of the development process. OLAP tools are the most used tools for implementing and consulting DWs and it is necessary to define security measures to avoid that users can access unauthorized information by executing...
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