The Open UniversitySkip to content

Automatic identification of best answers in online enquiry communities

Burel, Gregoire; He, Yulan and Alani, Harith (2012). Automatic identification of best answers in online enquiry communities. In: 9th Extended Semantic Web Conference, 27-31 May 2012, Crete.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (515Kb)
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


Online communities are prime sources of information. The Web is rich with forums and Question Answering (Q&A) communities where people go to seek answers to all kinds of questions. Most systems employ manual answer-rating procedures to encourage people to provide quality answers and to help users locate the best answers in a given thread. However, in the datasets we collected from three online communities, we found that half their threads lacked best answer markings. This stresses the need for methods to assess the quality of available answers to: 1) provide automated ratings to fill in for, or support, manually assigned ones, and; 2) to assist users when browsing such answers by filtering in potential best answers. In this paper, we collected data from three online communities and converted it to RDF based on the SIOC ontology. We then explored an approach for predicting best answers using a combination of content, user, and thread features. We show how the influence of such features on predicting best answers differs across communities. Further we demonstrate how certain features unique to some of our community systems can boost predictability of best answers.

Item Type: Conference Item
Copyright Holders: 2012 Springer-Verlag
ISSN: 1611-3349
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetEU
Extra Information: The Semantic Web: Research and Applications
9th Extended Semantic Web Conference, ESWC 2012,
Heraklion, Crete, Greece, May 27-31, 2012.
Edited by Elena Simperl, Philipp Cimiano, Axel Polleres, Oscar Corcho, Valentina Presutti
Lecture Notes in Computer Science 7295
ISBN 978-3-642-30284-8
e-ISBN 978-3-642-30284-8
Keywords: social semantic web; community question answering; content quality; online communities
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 33942
Depositing User: Harith Alani
Date Deposited: 02 Jul 2012 09:36
Last Modified: 24 Oct 2012 19:13
Share this page:


Scopus Citations

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340