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Natural language question and answer system on semantic health website

Handayani, Dini and Kartiwi, Mira (2015) Natural language question and answer system on semantic health website. International Journal on Perceptive and Cognitive Computing (IJPCC), 1 (1). pp. 18-23. ISSN 2462 - 229X

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Abstract

Web search by using generic search engines is the most common activity on the Web. Despite a wide range of information one could gathered from the Internet, there has not been many websites reported providing facility for the user to query the information using a natural language. It is the aim of this research to develop a prototype that implements query technique based on natural language processing to answer such query, extraction and summarization technique to automatically generate paragraph level for a better time saving process. In early 2007, Cervical Cancer Organization reported that a female-related disease, particularly cervical cancer, is the 5th most common cancer in women worldwide. According to that report, the aim of this research is to ensure that the web-based tool developed in this study facilitate the knowledge sharing activities among medical practitioners and public users.

Item Type: Article (Journal)
Additional Information: 6326/50299
Uncontrolled Keywords: semantic technology, ontology, natural language processing, question and answer, cervical cancer
Subjects: Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Dr. Mira Kartiwi
Date Deposited: 15 Apr 2016 09:54
Last Modified: 20 Nov 2017 16:16
URI: http://irep.iium.edu.my/id/eprint/50299

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