Employing multi-level abstraction in modeling refers to representing objects at multiple
levels of one or more abstraction hierarchies, mainly classification, aggregation and …

Business model ontologies capture the complex interdependencies between business
objects. The analysis of the hence formalized knowledge eludes traditional OLAP systems …

Conceptual models organize the data as well as the processes from a business domain
using a human-readable, yet formal representation language. For static data models …

The corporate data warehouse integrates data from various operational data stores of a
company. These operational data stores may be heterogeneous with respect to the …

As organizations grow, decision support systems face a surging demand for information;
information that must be integrated into the corporate data warehouse. Incremental …

Abstract Information Systems maintain a representation of the state of a domain in order to
provide information about that domain. They are often employed in a cross-organizational …

Data warehouses combine data from various, often heterogeneous sources. The hetero-
homogeneous approach to data warehouse modeling allows for the representation of …

The data which are stored in a data warehouse originate from different, often heterogeneous
sources in a company to permanently store these data for data analysis. At present there are …

Data warehouses enable companies to conduct advanced data analysis for supporting
decision makers. Therefore, data are stored inside data warehouses from diverse, often …

Kurzfassung Mit Hilfe der Multi-Level Modellierung können Objekte der realen Welt auf
verschiedenen Abstraktionsebenen dargestellt werden. Um solche Modelle erstellen zu …