Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting

Online forums represent nowadays one of the most popular and rich repository of user generated information over the Internet. Searching information of interest in an online forum may be substantially improved by a proper organization of the forum content. With this aim, in this paper we propose an a...

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Bibliographic Details
Published inKnowledge Discovery, Knowledge Engineering and Knowledge Management pp. 161 - 180
Main Authors Distante, Damiano, Fernandez, Alejandro, Cerulo, Luigi, Visaggio, Aaron
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2015
SeriesCommunications in Computer and Information Science
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ISBN3319258397
9783319258393
ISSN1865-0929
1865-0937
DOI10.1007/978-3-319-25840-9_11

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Summary:Online forums represent nowadays one of the most popular and rich repository of user generated information over the Internet. Searching information of interest in an online forum may be substantially improved by a proper organization of the forum content. With this aim, in this paper we propose an approach that enhances an existing forum by introducing a navigation structure that enables searching and navigating the forum content by topics of discussion. Topics and hierarchical relations between them are semi-automatically extracted from the forum content by applying Information Retrieval techniques, specifically Topic Models and Formal Concept Analysis. Then, forum posts and discussion threads are associated to discussion topics on a similarity score basis. Moreover, to support automatic moderation in websites that host several forums, we propose a strategy to assist a user writing a new post in choosing the most appropriate forum into which it should be added. An implementation of the topic-driven content search and navigation and assisted posting forum enhancement approaches for the Moodle learning management system is also presented in the paper, opening to the application of these approaches to several real distance learning contexts. Finally, we also report on two case studies that we have conducted to validate the two approaches and evaluate their benefits.
ISBN:3319258397
9783319258393
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-319-25840-9_11