Equivalence Mapping of Semantically Identical Keywords

A 2.2 KB text file identifies and normalizes semantically identical keywords that appear in different written forms. It was authored by Hua Song and last updated on 2026-05-14. The file generates an equivalence mapping table, applying normalization only when the same concept occurs in at least two distinct expressions.

Use Cases

• Deduplicate search queries based on identified keyword variants.
• Enhance text analysis by mapping synonymous keyword expressions to a canonical form.
• Build cleaner keyword taxonomies for information retrieval systems.
• Preprocess textual data for machine learning models to reduce feature sparsity.

Strengths

• File size is precisely 2.2 KB, indicating a focused scope.
• License is explicitly CC-BY-4.0, permitting broad reuse with attribution.
• Normalization logic is clearly defined: mapping occurs only for concepts with at least two distinct expressions.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-14 17:26:23; freshness should be verified.