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An OLAP API for Cubes with Ontology-Valued Measures

Author: M. Schnepf
Master Thesis: MT1509 (September, 2015)
Supervised by: o. Univ.-Prof. Dr. Michael Schrefl
Instructed by: Dr. Christoph Schütz
Accomplished at: University Linz, Department for Business Informatics - Data & Knowledge Engineering
Resources: Copy


Abstract (German):

Die Operatoren traditioneller OLAP-Systeme unterstützen lediglich numerische Werte. Manche Daten können jedoch besser durch Business Model Ontologien dargestellt werden. Eine Erweiterung von OLAP-Systemen hinsichtlich der Unterstützung von Business Model Ontologien bietet neue Möglichkeiten für die Datenanalyse. Wir verwenden Ontology-Valued Measures um die Analyse von nicht-numerischen Daten zu ermöglichen. Eine API wird entwickelt um unterschiedliche OLAP-Operatoren auf Ontology-Valued Measures ausführen zu können.

Abstract (English):

Traditional OLAP systems operate on numeric values only. Many scenarios, however, are represented more appropriately by the use of business model ontologies. The extension of OLAP systems to support operations on business model ontologies offers new possibilities in data analytics. We use ontology-valued measures to support the analysis of non-numeric values. An API is created in order to execute different OLAP operators on ontology-valued measures.