Bernd Neumayr

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Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification , aggregation and generalization. This, however, leads to accidental complexity, complicating maintenance and extension. Several modeling techniques, like deep instantiation, powertypes and(More)
Business analysts frequently use Cockpits or Dashboards as front ends to data warehouses for inspecting and comparing multi-dimensional data at various levels of detail. These tools, however, perform badly in supporting a business analyst in his or her business intelligence task of understanding and evaluating a business within its environmental context(More)
Application integration requires the consideration of instance data and schema data. Instance data in one application may be schema data for another application, which gives rise to multiple instantiation levels. Using deep instantiation, an object may be deeply characterized by representing schema data about objects several instantiation levels below. Deep(More)
In recent years there has been growing interest in the use of multi-level modelling approaches to better represent the multiple classification levels that are frequently found in the real world and are needed to effectively engineer languages. Multi-level modelling approaches have not only been successfully used in numerous industrial projects and standards(More)
Understandability, reuse, and maintainability of analytical queries belong to the key challenges of Data Warehousing, especially in settings where a large number of business analysts work together and need to share knowledge. To tackle these challenges we propose Ontology-based OLAP where an ontology acts as superimposed conceptual layer between business(More)
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(More)
It is common in organizational contexts and in law to apply a decision-scope approach to decision making. Higher organization levels set a decision scope within which lower organization levels may operate. In case of conflict the regulations and rules of a higher level (e.g. European Union) take precedence over those of a lower level (e.g. a member state).(More)