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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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/20061/1/KMICe2016%20145%20149.pdf http://repo.uum.edu.my/20061/ http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |
| Summary: | 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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