Social information retrieval for online community question answering services

Online Community Question Answering Services is a platform that allows users to seek for answers anytime and anywhere.The services cover a large collection of unstructured knowledge and become a knowledge repository for problem solving.The answers in the services are generated by other public u...

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Bibliographic Details
Main Authors: Jun, Choi Lee, Yu-N, Cheah, Wai, Shiang Cheah
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/20061/1/KMICe2016%20145%20149.pdf
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author Jun, Choi Lee
Yu-N, Cheah
Wai, Shiang Cheah
author_facet Jun, Choi Lee
Yu-N, Cheah
Wai, Shiang Cheah
author_sort Jun, Choi Lee
collection UUM
description Online Community Question Answering Services is a platform that allows users to seek for answers anytime and anywhere.The services cover a large collection of unstructured knowledge and become a knowledge repository for problem solving.The answers in the services are generated by other public user.This environment creates a large collection of unstructured knowledge, which can be use as knowledge source for other intelligent processes.From the review, it is a challenge to access accurate information from the Online Community Question Answering services.This study propose a social information retrieval method to access the knowledge from the services.The proposed method query and retrieve information the online services through query expansion.Then, the retrieved information is filtered through a similarity analysis between a question with a query statement and semantic relatedness between answers and the query statement.The accuracy of the proposed approach is evaluated through human evaluation.
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spelling uum-200612016-11-29T01:11:19Z https://repo.uum.edu.my/id/eprint/20061/ Social information retrieval for online community question answering services Jun, Choi Lee Yu-N, Cheah Wai, Shiang Cheah T Technology (General) Online Community Question Answering Services is a platform that allows users to seek for answers anytime and anywhere.The services cover a large collection of unstructured knowledge and become a knowledge repository for problem solving.The answers in the services are generated by other public user.This environment creates a large collection of unstructured knowledge, which can be use as knowledge source for other intelligent processes.From the review, it is a challenge to access accurate information from the Online Community Question Answering services.This study propose a social information retrieval method to access the knowledge from the services.The proposed method query and retrieve information the online services through query expansion.Then, the retrieved information is filtered through a similarity analysis between a question with a query statement and semantic relatedness between answers and the query statement.The accuracy of the proposed approach is evaluated through human evaluation. 2016-08-29 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/20061/1/KMICe2016%20145%20149.pdf Jun, Choi Lee and Yu-N, Cheah and Wai, Shiang Cheah (2016) Social information retrieval for online community question answering services. In: Knowledge Management International Conference (KMICe) 2016, 29 – 30 August 2016, Chiang Mai, Thailand. http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf
spellingShingle T Technology (General)
Jun, Choi Lee
Yu-N, Cheah
Wai, Shiang Cheah
Social information retrieval for online community question answering services
title Social information retrieval for online community question answering services
title_full Social information retrieval for online community question answering services
title_fullStr Social information retrieval for online community question answering services
title_full_unstemmed Social information retrieval for online community question answering services
title_short Social information retrieval for online community question answering services
title_sort social information retrieval for online community question answering services
topic T Technology (General)
url https://repo.uum.edu.my/id/eprint/20061/1/KMICe2016%20145%20149.pdf
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