Business Model Ontologies in OLAP Cubes
نویسندگان
چکیده
eBISS 2013 Third European Business Intelligence Summer School Business model ontologies capture the complex interdependencies between business objects. The analysis of the hence formalized knowledge eludes traditional OLAP systems which operate on numeric measures. Many real-world facts, however, do not boil down to a single number but are more accurately represented by business model ontologies. We adopt business model ontologies for the representation of nonnumeric measures in OLAP cubes. We propose modeling guidelines and adapt traditional OLAP operations for ontologyvalued measures.
منابع مشابه
Sparsity Handling and Data Explosion in OLAP Systems
A common problem with OnLine Analytical Processing (OLAP) databases is data explosion data size multiplies, when it is loaded from the source data into multidimensional cubes. Data explosion is not an issue for small databases, but can be serious problems with large databases. In this paper we discuss the sparsity and data explosion phenomenon in multidimensional data model, which lie at the co...
متن کاملSISYPHUS: A Chunk-Based Storage Manager for OLAP Cubes
In this paper, we present SISYPHUS, a storage manager for data cubes that provides an efficient physical base for performing OLAP operations. On-Line Analytical Processing (OLAP) poses new requirements to the physical storage layer of a database management system. Special characteristics of OLAP cubes such as multidimensionality, hierarchical structure of dimensions, data sparseness, etc., are ...
متن کاملAn interoperable XML encoding for the exchange of Spatial OLAP data cubes in SOA environments
XML and Web Services technologies have revolutionized the way data are exchanged on the Internet. Meanwhile, Spatial OLAP (SOLAP) tools have emerged to bridge the gap between the Business Intelligence and Geographic Information Systems domains. While Web Services specifications such as XML for Analysis enable the use of OLAP tools in Service Oriented Architecture (SOA) environments, no solution...
متن کاملBusiness Intelligence: Multidimensional Data Analysis
The relational database model is probably the most frequently used database model today. It has its strengths, but it doesn’t perform very well with complex queries and analysis of very large sets of data. As computers have grown more potent, resulting in the possibility to store very large data volumes, the need for efficient analysis and processing of such data sets has emerged. The concept o...
متن کاملAnswering Multidimensional Queries on Cubes Using Other Cubes
Recently there is an important interest on On-Line Analytical Processing (OLAP) technology. In this context, in order to facilitate complex analysis, data are usually modeled multidimensionally, where multiple hierarchies are associated with the dimensions. These Multidimensional (MD) data structures are called data cubes. In the existing OLAP products, the user interaction is limited to one op...
متن کامل