We describe a framework for representing email as well as meeting information as a joint graph. In the graph, documents and meeting descriptions are connected via other nontextual objects representing the underlying structure-rich data. This framework integrates content, social networks and a timeline in a structural graph. Extended similarity metrics for objects embedded in the graph can be derived using a lazy graph walk paradigm. In this paper we evaluate this general framework for two meeting and email related tasks. A novel task considered is finding email-addresses of relevant attendees for a given meeting. Another task we define and evaluate is finding the full set of email-address aliases for a person, given the corresponding name string. The experimental results show promise of this approach over other possible methods.
|State||Published - 2006|
|Event||3rd Conference on Email and Anti-Spam, CEAS 2006 - Mountain View, CA, United States|
Duration: 27 Jul 2006 → 28 Jul 2006
|Conference||3rd Conference on Email and Anti-Spam, CEAS 2006|
|City||Mountain View, CA|
|Period||27/07/06 → 28/07/06|
ASJC Scopus subject areas