Textual case-based reasoning
This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages)(Learn how and when to remove this template message)
Textual case-based reasoning is a subtopic of case-based reasoning, in short CBR, a popular area in artificial intelligence. CBR suggests the ways to use past experiences to solve future similar problems, requiring that past experiences be structured in a form similar to attribute - value pairs. This leads to the investigation of textual descriptions for knowledge exploration whose output will be, in turn, used to solve similar problems.
Weber, R. O., Ashley, K., & Brüninghaus, S. (2005). Textual Case-Based Reasoning. Knowledge Engineering Review, 20(3), 255–260.