The Changing Shape of Case-Based Reasoning: Topic-Level Analysis Corpus

A dataset supporting a large-scale, topic-level scientometric analysis of case-based reasoning (CBR) research. It is derived from the Semantic Scholar Academic Graph and was published by Barry Smyth in 2026. The dataset contains 128.4 MB of data in Parquet format, providing a minimal subset of corpus identifiers for analysis.

Use Cases

• Analyzing publication and citation dynamics of CBR research topics based on the described momentum framework.
• Identifying structural divergences between CBR and kNN research areas as highlighted in the description.
• Tracking the evolution and emerging growth patterns of academic topics within the CBR field.
• Conducting scientometric studies using corpus IDs and URLs from a major academic graph source.

Strengths

• Dataset size is 128.4 MB, indicating a substantial volume of data.
• Source data originates from the Semantic Scholar Academic Graph, a large-scale academic corpus.
• Research is associated with a peer-reviewed paper published at the ICCBR 2026 conference.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset contains only corpus IDs and URLs, with no SS-sourced metadata, limiting direct analysis.

Provenance

Source

Semantic Scholar Academic Graph

Collection Method

Derived subset of academic publication records.

Freshness

Last updated 2026-05-18 07:30:53; freshness should be verified.