Project: Quality measurement of data models in Big Data systems
2019-01-01 – 2022-12-31
- Abstract
Database systems are diverse in nature. They have limits with respect to the data model that can be used and usually focus on specific applications. Choosing the right system is therefore not always trivial. We propose a novel measurement system that allows to compare data models in a quantitative
manner by evaluating them in an operational, task-oriented context.
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- Journal Article
- A1
- open access
Improving data cleaning by learning from unstructured textual data
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A novel approach to assess and improve syntactic interoperability in data integration
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- Journal Article
- A1
- open access
Cost-based analysis of the impact of data completeness and representational consistency
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Cost-based analysis of the impact of data completeness and representational consistency
(2021) -
Quantifying the impact of EER modeling on relational database success : an experimental investigation
(2020) International Conference on Conceptual Modeling. In Lecture Notes in Computer Science 12400. p.487-500 -
Measuring data quality in information systems research