mle: Enhancing the Exploration of Mailing List Archives Through Making Semantics Explicit.

Following and understanding discussions on mailing lists is a prevalent task for executives and policy makers in order to get an impression of one's company image. However, existing solutions providing a Web-based archive require substantial manual effort to search for or filter certain information. With mle we propose a new way to automatically process mailing list archives. The tool is realised based on two Semantic Web technologies: Firstly, SIOC is utilised as the primary vocabulary for describing posts, people, and topics; secondly the RDF metadata is deployed by means of embedding it in the Web page encoded in RDFa.