Messaging and Web of Data: Private meets Public (and vice-versa)
April 16, 2012 – Lyon, France
Workshop objective and goals
The growing amount of public available data on the WWW is a new opportunity to improve Messaging systems (e.g. Email, Social Media, Instant Messaging) in multiple forms, such as messages content, processing (classification, etc.) and presentation. This workshop is dedicated to explore how public web data, such as identities, agendas, LinkedData, social networks or various information published on the web can meet private messaging data (semi-structured headers, information extracted from emails, footers such as signatures, etc.) to bring new insight for users, and prevent error or abuse. Reciprocally, messages can become public (think about public email archives, leaked email datasets, Twitter timelines, etc.), but sometimes to implement web standards to be efficiently identified, distributed and linked. This private/public duality and versality, applied to messages in general (and especially to email), is the basis of this workshop, which goes beyond technical aspects and aims at exploring impacts on users' practices, interfaces and trust.
In this workshop edition, we want to particularly explore 1) how to preserve privacy in the context strictly private messages (Email, Direct Messages) and public data (such as open linked data) by minimizing information disclosure, and 2) the integration of social media (Twitter, Facebook) with conventional messaging systems (Email, forums) in an everyday use, and its impact on data acquisation and organisation.
Specific topics of interest include, but are not limited to:
- Archives exploration and analysis: Email mailing lists, web archives, structured datasets, email archives as knowledge base or business intelligence data source.
- Usage studies: usage patterns, behaviors, information overload.
- Technical impact: infrastructures, protocols stacks.
- Web standards: embedding web standards in messages, semantics, microformats, LinkedData and its integration and use in messages.
- Conversations: quotes, threads, sentiment/discourse/opinion analysis, dialog analysis, conversation graph.
- Social: identities, institution and individual reputation, folksonomies, collaboration and social media integration.
- HCI and visualization: interfaces, novel interactions, visual analysis,recommendation.
- Natural Language Processing: applications of NLP technologies, message understanding, topic modeling, message summarization.
- Information Extraction: methods and techniques to extract sensitive/personal information from email, entities disambiguation and coreferences.
- Interactions on the Web: instant messaging, RSS feeds, blogging, social network, tweets.
- Security and privacy issues: usable privacy, trust, phishing, abuse.
- Submission Deadline:
February 6, 2012, February 15, 2012 11:59 pm GMT (extended)
- Acceptance notification: March 4, 2012
- Camera-ready submission:
March 15, 2012, March 9th, 12:00 noon (NY timezone, EDT)
- Workshop date: April 16, 2012
Paper format and submission
Submissions should report new (unpublished) research results or ongoing research. Submissions can be
- 4 pages for short position/experience papers, posters and interactive demos.
- 6 pages for full research papers.
The camera ready papers MUST follow the ACM template (http://www.sheridanprinting.com/typedept/www3.htm)
The website should be also used to submit the final papers following the workshop ID EMAIL'12
The workshop proceedings will be published and indexed as the WWW 2012 companion volume on the ACM Digital Library.
The papers will be accessible through emailresearch.org website.
The best paper(s) (extended version) will be published in Journal of Computing and Informatics (CAI) http://www.cai.sk/
Organizers and Program Committee
- D. Sculley, Google Research, USA
- Ian Smith, Everbread, UK
- Diana Maynard, NLP Group, University of Sheffield, UK
- Andrew Lampert, Palantir Technologies, Australia
- David Ascher, Mozilla Messaging, USA
- Uwe Riss, SAP Research, Germany
- Thomas Burkhart, IWI DFKI, Germany
- Simon Scerri, DERI, Ireland
- Nicolas Ducheneaut, PARC, USA
- John Tang, Microsoft Research, USA
- Mark Dredze, Johns Hopkins University, USA
- Gaëlle Recourcé, Kwaga, France
NextMail'11 - First International Workshop on Next Trends in Email (NextMail'11)
1st International Workshop on Emails in e-Commerce and Enterprise Context (E3C)
AAAI Workshop on Enhanced Messaging (EMAIL-2008)
These workshops with other email research papers and activities are maintained at
Dr. Vuillemot is currently a postdoctoral fellow at INRIA Saclay, Paris, France, building an information
visualization toolkit using web standards. His research interests are in Information Visualization and
Human/Computer Interactions. In 2011 he received his PhD in Computer Science from INSA Lyon, for his
work on a web-services-based framework to develop and monitor novel visual interfaces. He spent six
month at the Human/Computer Interaction Laboratory at the University of Maryland as invited research
fellow to work with humanists on novel text visualization interfaces. Dr. Vuillemot also developed and
released several novel visual applications for movies, images, graphs & emails. Dr. Vuillemot worked on
Email interactions, aggregation and visualization techniques.
Dr. Laclavik is a researcher at Institute of Informatics SAS. In 1999 he received his MSc degree
in Computer Science and Physics. He received his PhD. degree in Applied Informatics with focus on
Knowledge Oriented Technologies in 2006. He is the author and co-author of more than 100 publications
with more than 100 citations, and participates in the Pellucid, K-Wf Grid and Commius European projects,
as well as in several national projects. He has strong scientific and development expertise in email
analysis, information extraction and information retrieval. He also gives lectures on Information Retrieval
at Slovak University of Technology. Finally, he is one of the initiators of the Commius project focusing on
email based interoperability for SMEs.
Vitor R. Carvalho
Dr Cavarlho is Principal Scientist and Data Engineering Manager at Intelius. After defending his PhD
thesis in Carnegie Mellon working under the ingenious William W. Cohen, he worked as a Senior
Scientist at Bing.com and as a Scientist at Microsoft Live Labs. Before that he also worked as a software
engineer at Ericsson R&D on real-time call allocation and other cell phone networks related problems. His
interested are in applied research interfacing Machine Learning, Information Retrieval and Text & Data
Mining. In particular, he worked on text mining, learning specific ranking functions for web search, long
web query retrieval, sampling techniques for large scale evaluation, information extraction, classification
and user recommendation models for email (speech acts, email leaks, recipient recommendation, etc.),
and a handful of other interesting topics.