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) formulation. (Month 2) Design and integrate a security penalty term to balance false positives and false negatives. (Month 3) Analyze embedding-space separation using cosine similarity and alternative
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, hybrid retrieval (BM25 + embeddings), graph databases (e.g., Neo4j), RDF/SPARQL, schema mapping, entity resolution. 3. Research Fit: Interest in applied research with real operational datasets. Motivation
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, hybrid retrieval (BM25 + embeddings), graph databases (e.g., Neo4j), RDF/SPARQL, schema mapping, entity resolution. 3. Research Fit: Interest in applied research with real operational datasets. Motivation
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