Customization of Domain-Specific Reference Models for Data Warehouses

2014 ◽  
Author(s):  
Christoph Schutz ◽  
Michael Schrefl
Keyword(s):  
Specific Reference ◽  
Data Warehouses ◽  
Reference Models ◽  
Domain Specific

scholarly journals Reference Modeling for Data Analysis: The BIRD Approach

2016 ◽  
Vol 25 (02) ◽  
pp. 1650006 ◽  
Author(s):  
Christoph G. Schuetz ◽  
Bernd Neumayr ◽  
Michael Schrefl ◽  
Thomas Neuböck
Keyword(s):  
Data Analysis ◽  
Best Practice ◽  
Reference Model ◽  
Multinational Companies ◽  
Reference Models ◽  
Domain Specific ◽  
Analytical Processing ◽  
Business Events ◽  
Definition Of ◽  
The Individual

Reference models for data analysis with data warehouses may consist of multidimensional reference models and analysis graphs. Multidimensional reference models are best-practice domain-specific data models for online analytical processing. Analysis graphs are reference models of analysis processes for event-driven data analysis. Small and medium-sized enterprises (SMEs) as well as large multinational companies may benefit from the use of reference models for data analysis. The availability of multidimensional reference models lowers the obstacles that inhibit SMEs from using business intelligence (BI) technology. Multinational companies may define multidimensional reference models for increased compliance among subsidiaries and departments. Furthermore, the definition of analysis graphs facilitates the handling of business events for both SMEs and large companies. Modelers may customize the chosen reference models, tailoring the models to the specific needs of the individual company or local subsidiary. Customizations may consist of additions, omissions, and modifications with respect to the reference model. In this paper, we propose a metamodel and customization approach for multidimensional reference models and analysis graphs. We specifically address the explicit modeling of key performance indicators as well as the definition of analysis situations and analysis graphs.

A Reference Ontology Based Approach for Service Oriented Semantic Interoperability

2011 ◽  
Vol 3 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Shuying Wang ◽  
Kevin P. Brown ◽  
Jinghui Lu ◽  
Miriam Capretz
Keyword(s):  
Information Exchange ◽  
Data Models ◽  
Specific Reference ◽  
Prototype System ◽  
Practical Case ◽  
Distributed Environment ◽  
Data Interoperability ◽  
Domain Specific ◽  
Reference Ontology ◽  
Service Oriented

To establish effective information exchange among applications in a distributed environment, participants not only share their functions and service interfaces, but often exchange data models. This paper proposes the use of ontologies to represent data models thus allowing applications to locate and integrate these models. A reference ontology based approach for service oriented ontology management is introduced. Specifically, a domain-specific reference ontology for use in the evaluation of a practical case is developed. To validate and evaluate the approach, a prototype system is developed to provide ontology deploying, browsing and mapping operations based on a service-oriented system. Experiments provide promising results that are consistent with the original ideas of managing ontologies and optimizing ontology mappings to facilitate data interoperability in a distributed environment.

A Reference Ontology Based Approach for Service Oriented Semantic Interoperability

2012 ◽  
pp. 1-16
Author(s):  
Shuying Wang ◽  
Kevin P. Brown ◽  
Jinghui Lu ◽  
Miriam Capretz
Keyword(s):  
Information Exchange ◽  
Data Models ◽  
Specific Reference ◽  
Prototype System ◽  
Practical Case ◽  
Distributed Environment ◽  
Data Interoperability ◽  
Domain Specific ◽  
Reference Ontology ◽  
Service Oriented

To establish effective information exchange among applications in a distributed environment, participants not only share their functions and service interfaces, but often exchange data models. This paper proposes the use of ontologies to represent data models thus allowing applications to locate and integrate these models. A reference ontology based approach for service oriented ontology management is introduced. Specifically, a domain-specific reference ontology for use in the evaluation of a practical case is developed. To validate and evaluate the approach, a prototype system is developed to provide ontology deploying, browsing and mapping operations based on a service-oriented system. Experiments provide promising results that are consistent with the original ideas of managing ontologies and optimizing ontology mappings to facilitate data interoperability in a distributed environment.

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