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.
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Abstract
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.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | ISBN: 978-967-0910-19-2 |
Uncontrolled Keywords: | Social Information Retrieval, Online Community Question Answering Services, Semantic Relatedness. |
Subjects: | T Technology > T Technology (General) |
Divisions: | School of Computing |
Depositing User: | Mrs. Norazmilah Yaakub |
Date Deposited: | 29 Nov 2016 01:11 |
Last Modified: | 29 Nov 2016 01:11 |
URI: | https://repo.uum.edu.my/id/eprint/20061 |
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