Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29570
Title: A narrative-based reasoning with applications in decision support for social service organizations
Authors: Wang, WM
Cheung, CF 
Keywords: Concept association
Decision support system
Health care
Knowledge-based systems
Narrative-based reasoning
Natural language processing
Social service organizations
Issue Date: 2011
Publisher: Pergamon Press
Source: Expert systems with applications, 2011, v. 38, no. 4, p. 3336-3345 How to cite?
Journal: Expert systems with applications 
Abstract: Nowadays, there is an increasing demand for incorporating unstructured narratives in decision support for knowledge-intensive industries such as healthcare and social service organizations. However, most of the current research on decision support systems (DSS) mainly focused on dealing with structured data and are inadequate to dealing with unstructured narratives such as clients' records and stories. This paper presents a narrative-based reasoning (NBR) algorithm which incorporates the technologies of knowledge-based system (KBS), computational linguistics, and artificial intelligence (AI) for automatic processing unstructured narratives and inferring useful knowledge for decision support. A NBR enabled DSS has been built and was evaluated through a series of experiments conducted in early intervention of mental health of a social service company in Hong Kong. The performance of NBR was measured based on recall and precision and encouraging results were obtained. High recall and precision are achieved in the reasoning of unstructured data, and high recall is achieved for the association analysis. The results show that it is possible for inferring recommendations for problem solving from unstructured narratives automatically. Based on the approach, it helps to support knowledge workers with reliable suggestions on decision making so as to increase the quality of their solutions.
URI: http://hdl.handle.net/10397/29570
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2010.08.118
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