Textual case-based reasoning: Difference between revisions

Revision as of 22:55, 15 June 2011

Revision as of 17:18, 24 December 2011

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{{unreferenced|date=May 2011}}

'''Textual case based reasoning''' is a subtopic of [[Case-based reasoning]], in short CBR, a popular area in [[Artificial Intelligence]]. Basically CBR suggests the ways to use past experiences to solve future similar problems.. However, it requires a prerequisite that past experiences should be structured in a form similar to attribute - value pairs. In recent days{{when?}}, users share their vast experiences through blogs and popular messaging services like [[twitter]]. In such textual descriptions, how to find and extract the knowledge relations in the form 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.

== References ==