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X-UDeKAM: an intelligent method for acquiring declarative structured knowledge using Chatterbot


Ali, M and Hussain, J and Lee, S and Kang, BH, X-UDeKAM: an intelligent method for acquiring declarative structured knowledge using Chatterbot, Proceedings of the 16th International Symposium on Perception, Action, and Cognitive Systems (PACS2016), 27-28 October 2016, Seoul, Korea, pp. 65-66. ISSN 2508-5662 (2016) [Conference Extract]


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Declarative knowledge has a key role in health-care domain, which is hidden in multiple clinical-related knowledge resources. For acquiring and constructing the declarative structured knowledge from unstructured knowledge resources, UDeKAM methodology was proposed that lacks the intelligent human dialoguing mechanism for validating and filtering the important concept relations. This paper is the extension of our previous work and presents an extended version of UDeKAM, called X-UDeKAM, that includes Chatterbot along with text preprocessing as well as controlled natural language processing techniques. For realization of X-UDeKAM, a diabetes scenario is explained through example.

Item Details

Item Type:Conference Extract
Keywords:declarative knowledge, text processing, controlled natural language, chatterbot, unstructured knowledge
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Mobile computing
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:113697
Year Published:2016
Deposited By:Engineering
Deposited On:2017-01-16
Last Modified:2017-08-31
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