Natural language question and answer system on semantic health website

Natural language question and answer system on semantic health website

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 t...

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Bibliographic Details
Main Authors: Handayani, Dini, Kartiwi, Mira
Format: Article
Language:English
Published: IIUM Press 2015
Subjects:
QA76 Computer software
Online Access:http://irep.iium.edu.my/50299/
http://irep.iium.edu.my/50299/
http://irep.iium.edu.my/50299/1/50299.pdf
id iium-50299
recordtype eprints
spelling iium-502992017-11-20T08:16:07Z http://irep.iium.edu.my/50299/ Natural language question and answer system on semantic health website Handayani, Dini Kartiwi, Mira QA76 Computer software 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. IIUM Press 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/50299/1/50299.pdf 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 http://journals.iium.edu.my/ijpcc/index.php/IJPCC/article/view/12
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Handayani, Dini
Kartiwi, Mira
Natural language question and answer system on semantic health website
description 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.
format Article
author Handayani, Dini
Kartiwi, Mira
author_facet Handayani, Dini
Kartiwi, Mira
author_sort Handayani, Dini
title Natural language question and answer system on semantic health website
title_short Natural language question and answer system on semantic health website
title_full Natural language question and answer system on semantic health website
title_fullStr Natural language question and answer system on semantic health website
title_full_unstemmed Natural language question and answer system on semantic health website
title_sort natural language question and answer system on semantic health website
publisher IIUM Press
publishDate 2015
url http://irep.iium.edu.my/50299/
http://irep.iium.edu.my/50299/
http://irep.iium.edu.my/50299/1/50299.pdf
first_indexed 2023-09-18T21:11:06Z
last_indexed 2023-09-18T21:11:06Z
_version_ 1777411257864814592

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