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1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems 2 I3S - Laboratoire d-Informatique, Signaux, et Systèmes de Sophia Antipolis

Abstract : In this paper, we describe the QASM Question & Answer Social Media system based on social network analysis to manage the two main resources in CQA sites: users and contents. We first present the QASM vocabulary used to formalize both the level of interest and the expertise of users on topics. Then we present our method to extract this knowledge from CQA sites. Finally we show how this knowledge is used both to find relevant experts for a question and to search for similar questions. We tested QASM on a dataset extracted from the popular CQA site StackOverflow.

Keywords : Social Media Mining Se-mantic Web Community Question Answering

Autor: Zide Meng - Fabien Gandon - Catherine Faron-Zucker -



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