Integration of Case-Based Reasoning (CBR) in a Sensemaking Support System (S3) – Knowledge Representation (KR) artifacts and integration strategy

PDF

Authors
  1. Bergeron Guyard, A.
  2. Roy, J.
Corporate Authors
Defence Research and Development Canada, Valcartier Research Centre, Quebec QC (CAN)
Abstract
Intelligence analysts are faced with information and cognitive overload problems, i.e., they must take into account large amounts of information from various sources using complex cognitive processes. Case-Based Reasoning (CBR) has been shown to offer a way to address some of the issues relating to these overload problems. This report provides details on CBR and how it can be applied in support of intelligence analysis. CBR is presented; the knowledge representation artifacts required by a CBR system are detailed. A strategy to integrate CBR into a sensemaking support system is also explained.
Keywords
case-based reasoning;sensemaking
Report Number
DRDC-RDDC-2014-R163 — Scientific Report
Date of publication
01 Dec 2014
Number of Pages
40
DSTKIM No
CA039863
CANDIS No
800921
Format(s):
Electronic Document(PDF)

Permanent link

Document 1 of 1

Date modified: