Ontology-driven business intelligence for comparative data analysis
Date
2014
Authors
Neubock, T.
Neumayr, B.
Schrefl, M.
Schutz, C.
Editors
Zimanyi, E.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Lecture Notes in Business Information Processing, 2014 / Zimanyi, E. (ed./s), pp.77-120
Statement of Responsibility
Conference Name
European Business Intelligence Summer School (7 Jul 2013 - 12 Jul 2013 : Germany)
Abstract
In this tutorial, we present an ontology-driven business intelligence approach for comparative data analysis which has been developed in a joint research project, Semantic Cockpit (semCockpit), of academia, industry, and prospective users from public health insurers. In order to gain new insights into their businesses, companies perform comparative data analysis by detecting striking differences between different, yet similar, groups of data. These data groups consist of measure values which quantify real-world facts. Scores compare the measure values of different data groups. semCockpit employs techniques from knowledge-based systems, ontology engineering, and data warehousing in order to support business analysts in their analysis tasks. Concept definitions complement dimensions and facts by capturing relevant business terms which are used in the definition of measures and scores. Furthermore, domain ontologies serve as semantic dimensions and judgement rules externalize previous insights. Finally, we sketch a vision of analysis graphs and associated guidance rules to represent analysis processes.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
2014 Springer International Publishing