Term Fuzzy Matching & Index Management
This workflow demonstrates how to perform string Term index matching, normalization, and index management using the exorbyte M|BOX nodes in KNIME.
It showcases key steps for enabling fault-tolerant name and text matching through configurable indexing, normalization, and license activation.
🧩 Included Examples
License Setup: How to request, activate, and manage MatchMaker licenses.
Quickstart: Detecting exact and single-edit typos using Levenshtein similarity.
Character Normalization: Improving accuracy with accent and diacritic mapping.
Index Writing & Reading: Persisting and reusing index data across workflows.
Name Variant Matching: Linking variant spellings (e.g., Mathias ↔ Matthias) through indexed fuzzy matching.
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