Abstract
We analyse three decades of case-based reasoning (CBR) research to better understand the health of CBR and its relationship to adjacent research fields. We identify two largely separate CBR communities, one based on the research published at mainstream CBR venues (ICCBR, ECCBR etc.), the other encompassing CBR work with no direct connection to these venues. We analyse their scale, impact, and focus, and the potential to bring them closer together in the future.
Supported by Science Foundation Ireland through the Insight Centre for Data Analytics under grant number SFI/12/RC/2289.
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Notes
- 1.
We will avoid the temptation to name-check individual researchers, on the grounds that such rankings can end up as distractions to the central argument.
- 2.
SS is an open, research-article search engine; see https://www.semanticscholar.org.
- 3.
We identified candidate papers based on a set of strong (e.g. case-based reasoning, derivational analogy), moderate (e.g. case adaptation, case based), and weak (CBR, case retrieval, case learning) search terms, and a scoring metric to identify CBR papers with a high degree of accuracy. Due to space restrictions it is not possible to provide a complete account of the terms and weightings used. The process involved considerable trial and error and validation tests were performed to ensure good precision and recall during the final dataset preparation.
- 4.
We use the term ‘mainstream’ to refer to ICCBR/ECCBR/EWCBR, but only as a convenience, and without attempting to impugn the many other research venues where CBR papers appear.
- 5.
We determine application papers based on the presence of keywords such as ‘application’, ‘domain’, ‘deploy’, for example, in the title or abstract.
- 6.
The number of years it takes to accumulate 50% of their cites.
- 7.
The time it takes for the paper to have its best citation year.
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Smyth, B. (2019). A Tale of Two Communities: An Analysis of Three Decades of Case-Based Reasoning Research. In: Bach, K., Marling, C. (eds) Case-Based Reasoning Research and Development. ICCBR 2019. Lecture Notes in Computer Science(), vol 11680. Springer, Cham. https://doi.org/10.1007/978-3-030-29249-2_23
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