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.