Project Details
Description
please refer to: http://www.dke.jku.at/research/projects/details.xq?name=SemCockpit
Business analysts frequently use Cockpits or Dashboards
as front ends to data warehouses for inspecting and comparing multidimensional data at various levels of detail. These tools, however, perform badly in supporting a business analyst in his or her business intelligence task of understanding and evaluating a business within its environmental context through comparative data analysis. With important business
knowledge either unrepresented or represented in a form not processable
by automatic reasoning, the analyst is limited in the analyses that can
be formulated and she or he heavily suffers from information overload
with the need to re-judge similar situations again and again, and to rediscriminate
between already explained and novel relationships between
data. The Semantic Cockpit assists and guides the business analyst in
defining analysis tasks and in discriminating between usual phenomena
and novel interesting situations to be followed up. The Semantic Cockpit
is an intelligent partner of the business analyst due to reasoning
about various kinds of knowledge, explicitly represented by machineprocessable
ontologies, such as organisation-internal knowledge, organisation
external domain knowledge, the semantics of measures and scores,
knowledge about insights gained from previous analysis, and knowledge
about how to act upon unusually low or high comparison scores.
| Status | Finished |
|---|---|
| Effective start/end date | 01.03.2011 → 28.02.2014 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- Deutsche Angestellten Krankenkasse (DAK) (Project partner)
- Solvistas GmbH (Project partner)
- Oberösterreichische Gebietskrankenkasse (OÖGKK) (Project partner)
Fields of science
- 502 Economics
- 102 Computer Sciences
- 509 Other Social Sciences
- 102015 Information systems
- 102030 Semantic technologies
- 502050 Business informatics
- 102010 Database systems
- 102035 Data science
- 502058 Digital transformation
- 503008 E-learning
- 509026 Digitalisation research
- 102033 Data mining
- 102027 Web engineering
- 102028 Knowledge engineering
- 102016 IT security
- 102025 Distributed systems
JKU Focus areas
- Digital Transformation
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Judgement and Analysis Rules for Ontology-driven Comparative Data Analysis in Data Warehouses
Steiner, D., Neumayr, B. & Schrefl, M., Jan 2015, Proceedings of the Eleventh Asia-Pacific Conference on Conceptual Modelling (APCCM 2015), January 27-30, 2015, Sydney, Australia. Kohler, H. & Saeki, M. (eds.). Australian Computer Society (ACS), Vol. 165. p. 71-80 10 p. (Conferences in Research and Practice in Information Technology Series; vol. 165).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Modelling Knowledge about Data Analysis Processes in Manufacturing
Neuböck, T. & Schrefl, M., May 2015, Proceedings of the 15th IFAC/IEEE/IFIP/IFORS Symposium Information Control Problems in Manufacturing (INCOM 2015), May 11-13, 2015, Ottawa, Canada. Vol. 48. p. 277-282 6 p. (IFAC-PapersOnLine).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
Open Access -
Implementing Judgement and Analysis Rules for Comparative Data Analysis in Oracle
Steiner, D., May 2014, 93 p.Research output: Thesis › Master's / Diploma thesis
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Towards Ontology-valued Measures in OLAP Cubes: Extending the Semantic Cockpit with Non-numeric Measures
Schütz, C. G. (Speaker)
17 Dec 2013Activity: Talk or presentation › Invited talk › unknown
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Semantic Enrichment of OLAP Cubes: Multi-dimensional Ontologies and their Representation in SQL and OWL
Schütz, C. G. (Speaker)
10 Sept 2013Activity: Talk or presentation › Contributed talk › unknown
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Business Model Ontologies in OLAP Cubes
Schütz, C. G. (Speaker)
08 Jul 2013Activity: Talk or presentation › Poster presentation › unknown