Zootology - Toolkit for Semantic Data Enrichment and Reconciliation

Zootology is a collection of modular tools designed to support semantic data enrichment and reconciliation. Its core capabilities include:

• Entity linking
• Semantic typing
• Ontology-based classification
• Human-in-the-loop validation

Zootology can be integrated with others tools as services through APIs. The toolkit consists of the following tools.

Crocodile

Purpose: High‑performance entity linking engine for large tabular datasets.

Key features:

• Row‑level parallel processing
• Batch entity linking
• Hybrid heuristics + ML ranking

GitHub: https://github.com/enRichMyData/crocodile

LionLinker

Purpose: Scalable enrichment engine for large datasets

Key features:

• Context‑aware entity linking

• Candidate retrieval from large KGs

• Multi‑model re‑ranking

• Confidence scoring + NIL detection

GitHub: https://github.com/enRichMyData/lion_linker

Moose

Purpose: Ontology‑driven classification & semantic typing.

Key features: 

• Simplified semantic typing
• Ontology‑based classification
• NER‑type classification
• Human‑interpretable taxonomy

GitHub: https://github.com/roby-avo/moose

Koala-UI

Purpose: Human‑in‑the‑loop interactive validation UI.

Key features:

• Semantic annotation UI for tabular data
• Visual inspection of entity linking
• Column type annotation (NER / literal)
• DPV‑based column classification

GitHub: https://github.com/enRichMyData/koala_ui