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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Data Lake

Research field Big Data & Model Management
Status running
Data lakes have been proposed as a solution to deal with the heterogeneity of big data, as they should provide a storage system for any kind of raw data. Metadata is of particular importance in such a system to have information about the structure and semantics of the data. The group has been working on the enhancement of the data lake system Constance. It is based on a modular architecture with components for schema matching, schema mapping, query rewriting, and wrapping of data sources. This system is applied in other research projects, e.g., mi-Mappa, HUMIT, and charMAnt, as basic platform for data integration.

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Project Publications

Christoph Quix, Sandra Geisler, Rihan Hai, Sanchit Alekh

Ontology Matching for Patent Classification

12th International Workshop on Ontology Matching (OM-2017), co-located with the 16th International Semantic Web Conference (ISWC-2017), Vienna, Austria, October 21, 2017.

Christoph Quix, Rihan Hai

Metadata Extraction and Management in Data Lakes with GEMMS

Complex Systems Informatics and Modeling Quarterly, No. 9, pp. 67-83, 2016

Rihan Hai

Towards an Intelligent Data Lake System for Heterogeneous Data Sources

35th International Conference on Conceptual Modeling (ER), PhD Symposium

More publications…