A semantic framework for modelling quotes in email conversations

Alexandre Passant, Antoine Zimmermann, Jodi Schneider, John G. Breslin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Quoting is a common practice in online conversations, notably in email discussions and bulletin boards. Despite many applications that offer special functionalities to handle them, there is no agreement on how to semantically represent these quotes, so that they could be queried and analysed uniformly whatever the original application is. While various Semantic Web models, notably SIOC, have become popular for interlinking, exporting and exchanging information about online communities and their conversations, they do not provide means to model such quotes. In this paper, we present (i) an OWL2 extension of SIOC for representing quotes and (ii) a framework for automated quotes extraction from email archives. In addition, we demonstrate the utility of such formal representation for querying email archives with finer-grained queries and for mining social networks based on the argumentative structure of email conversations.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st ACM Jordan Professional Chapter ISWSA Annual - International Conference on Intelligent Semantic Web-Services and Applications, ISWSA'10
DOIs
StatePublished - 2010
Externally publishedYes
Event1st ACM Jordan Professional Chapter ISWSA Annual - International Conference on Intelligent Semantic Web-Services and Applications, ISWSA'10 - Amman, Jordan
Duration: Jun 14 2010Jun 16 2010

Publication series

NameACM International Conference Proceeding Series

Other

Other1st ACM Jordan Professional Chapter ISWSA Annual - International Conference on Intelligent Semantic Web-Services and Applications, ISWSA'10
Country/TerritoryJordan
CityAmman
Period6/14/106/16/10

Keywords

  • SIOC
  • mailing-lists
  • ontologies
  • semantic web

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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