Welcome to DTAI's works related to knowledge graphs!
In this GitHub organization, you can find the software we develop to support our research.
MLSea includes a set of software developed to create and explore metadata about ML concepts. It consists of:
- MLSea-KGC (https://github.com/dtai-kg/MLSea-KGC) provides the source code used to create MLSea-KG.
- MLsea-KG is a knowledge graph with concepts related to ML.
- MLSO (https://github.com/dtai-kg/MLSO) is an ontology to describe ML related topics.
- MLSeascape (https://github.com/dtai-kg/MLSeascape) is a UI to search over the MLSea knowledge graph. (video)
The research on MLSea is partially funded by the following projects: KG4ML, REXPEK and FAIR.
SCOOP extracts constraints from the data's schema, ontology and mappings to create SHACL shapes. It consists of:
- SCOOP (https://github.com/dtai-kg/SCOOP) integrates SHACL shapes which were extracted from different artifacts.
- XSD2SHACL (https://github.com/dtai-kg/XSD2SHACL) extracts SHACL shapes from XMLSchema.
- SCOOP-UI (https://github.com/dtai-kg/SCOOP-UI) provides a user interface to interact with SCOOP and extract SHACL shapes. (video).
The research on SCOOP is partially funded by the following projects: KG3D
TorchicTab automatically understands tables and provides annotations for these tables.
You can read more about TorchicTab at DTAI's stories: https://dtai.cs.kuleuven.be/stories/post/anastasia-dimou/torchictab/
The research on TorchicTab is partially funded by the following projects: KG3D, REXPEK and FAIR.
PG-to-RDF RML provides a collection of RML template mappings designed to translate property graphs into RDF graphs, following various translation techniques.
For a detailed explanation of how property graphs can be mapped to RDF graphs using RML, please refer to the publication: Flexible RML-Based Mapping of Property Graphs to RDF
- MLSO (https://github.com/dtai-kg/MLSO) is an ontology to describe ML related topics.
- CACAO (https://github.com/REEVALUATE/CACAO) is an ontology to describe cultural heritage artifacts.
- GLUE (https://github.com/dtai-kg/GLUE-Ontology) is an ontology to describe ML related topics.