Multilingual semantic knowledge graph
A WordNet-style infrastructure layer for modelling how meaning connects across words, languages, and cultures.
Built a dependable way to model and migrate multi-million-node language data without compromising its integrity.
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Model a rich multilingual lexical corpus so cross-language meaning is discoverable and maintainable.
Responsibility
Architected the graph model and built the pipelines and full-stack systems around it.
Approach
Designed Language, Lemma, Synset, Definition, and Example nodes with cross-lingual alignment.
Outcome
Built batch-processing and retry-safe migration pipelines that moved 3.5M nodes without data loss or OOM failures.