dc.contributor.author | Scerri, Simon | en |
dc.date.accessioned | 2009-10-30T16:53:03Z | en |
dc.date.available | 2009-10-30T16:53:03Z | en |
dc.date.issued | 2007 | en |
dc.identifier.citation | Simon Scerri "Aiding the Workflow of Email Conversations by Enhancing Email with Semantics", Knowledge Web PhD Symposium 2007, co-located with the 4th Annual European Semantic Web Conference in Innsbruck, Austria, 2007. | en |
dc.identifier.uri | http://hdl.handle.net/10379/391 | en |
dc.description.abstract | Despite persisting in popularity, email is still plagued with
information overload, hindering the workflow of data handled by the user. Just
as Semantic Web technologies promise to revolutionize the Web, we aspire to
use the same technology to enhance electronic mail with useful semantics. Thus
we will tackle one of the largest flaws of the email communication genre - the
lack of shared expectations about the form and content of the interaction, which
can be attributed to the lack of explicit semantics covering context and content
of exchanged messages. Earlier research showed that email content can be
captured by applying speech act theory. We will refine and extend this work to
develop an email speech act ontology and outline a non-deterministic model
that predicts the user¿s best course of action upon sending or receiving an email. | en |
dc.format | application/pdf | en |
dc.language.iso | en | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Speech act theory | en |
dc.subject | Metadata extraction | en |
dc.subject | Semantic Web | en |
dc.subject | Email | en |
dc.subject.lcsh | Semantic web | en |
dc.subject.lcsh | Web services | en |
dc.subject.lcsh | Electronic mail messages | en |
dc.title | Aiding the Workflow of Email Conversations by Enhancing Email with Semantics | en |
dc.type | Conference Paper | en |
dc.description.peer-reviewed | peer-reviewed | en |
dc.contributor.funder | NEPOMUK | en |
nui.item.downloads | 233 | |