What is it about?
An open source semantic data lake built from big data technology. We establish a semantic layer to annotate data sources with concepts from knowledge graphs. The user is assisted by different components in a pipeline to create semantic models. The semantic models are then used to perform Ontology-based data acces (OBDA), a mechanism to query the different underlying storages in the lake uniformly.
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Why is it important?
First system to combine semantic modelling, scalable data management and OBDA in one uniform system. Besides that, the system provides more features like MLOps, source-independet ingestion, meta data extraction, data catalog and more to represent a benchmark for future work on data lakes.
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This page is a summary of: SEDAR: A Semantic Data Reservoir for Heterogeneous Datasets, October 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3583780.3614753.
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