SemT-X

A framework for the semantic enrichment of tabular data
by linking cells and columns to external knowledge sources, adding context and additional information.

Main Features

Modification

Prepare your data for enrichment by applying transformation functions.

Reconciliation

Link your table cells to external Knowledge Bases, such as Wikidata or GeoNames.

Matching Revision

Validate and correct candidate entities at cell level or through batch refinement and propagation across columns.

Extension

Enrich your table by fetching additional properties and metadata from reconciled entities.

Generative AI

Leverage Large Language Models to assist in AI-driven modification, reconciliation, and extension.

Automatic Annotation

Automatically annotate either the full table (Semantic Table Interpretation) or classify the column schema (NER).

Compliance Check

Evaluate the current state of your table's compliance against different privacy standards and legal regulations.

Visualization

Explore your data through interactive Table, Raw (JSON), and Graph-based visualizations.

Enrichment Pipeline Generation

Export your enrichment process into reproducible pipelines to execute the same workflow on full-scale tables.

And much more to discover in our Technical Manual