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Subject: [ E-CFP ] DEADLINE EXTENSION until March 17th : Social Media and Linked Data for Emergency Response (SMILE) Workshop @ESWC 2013
From: <irina.temnikova_(on)_gmail.com>
Date received: 08 Mar 2013
Deadline: 17 Mar 2013
Start date: 26 May 2013





*Apologies for multiple postings*

Call for Papers **Social Media and Linked Data for Emergency
Response (SMILE) Workshop co-located with ESWC 2013 **26-30 May,
Montpellier, France**

SMILE 2013 http://oak.dcs.shef.ac.uk/?q=smile

Emergencies require significant effort in order for emergency
workers and the general public to respond effectively. Emergency
Responders must rapidly gather information, determine where to
deploy resources and make prioritization decisions regarding how
best to deal with the emergency. Good situation awareness is
therefore paramount to ensure a timely and effective response.
Thus, for an incident to be dealt with effectively, citizens and
responders must be able to share reliable information and help
build an understanding of the current local and global situation
and how this may evolve over time. Information available on
Social Media is increasingly becoming a fundamental source for
Situation Awareness. During a crisis, citizens share their own
experiences, feelings and often, critical local knowledge.
Integrating this information with Linked Open Data, (such as
geographic or demographic data) could greatly enrich its value to
better prevent and respond to disasters and crisis.

These characteristics make the automation of the intelligence
gathering task hard, especially when considering that (i)
documents must be processed in (near) real-time and (ii) the
relevant information may be in the long-tail of the distribution,
i.e. mentioned very infrequently. Common techniques for
extracting information from text have been applied to Social
Media content with alternate success. For e.g., Named Entity
Recognition (NER) techniques that extract semantic concepts have
been shown to perform poorly on short and noisy social media
content. While annotation services and APIs are a highly
stimulating research direction for understanding the content and
context of social media streams, the aggregation and integration
of multi-dimensional datasets, from different domains and large
volumes of data still pose a significant technical challenge to
development in this area.

Understanding and acting upon large-scale data of different
nature, provenance and reliability is a significant knowledge
management challenge. Decision-support and visualization
techniques must be developed to enable data exploration and
discovery for crisis management purposes. Social challenges
involved in exploiting social media and Linked Open Data for
crisis situations include: credibility, accountability,
trustworthiness, privacy, authenticity and provenance of
information.

SMILE aims to gather innovative approaches for exploitation of
social media using semantic web technologies and linked data for
emergency response and crisis management. The workshop would
cover advancements in the relevant areas.

SMILE aims to bring together expertise from three research areas:

-Semantic Web and Linked Data; -Social Sciences; -Emergency
Response and Crisis Management;

Important dates:

*Submission deadline: March 4, 2013 March 17, 2013* Acceptance
notification: April 1, 2013 Camera-ready deadline: April 15, 2013

Submissions:

Full research papers, up to 12 pages Short papers and position
papers, up to 6 pages Posters and Demonstrations, 4 pages with
the description of the application and a link to a live online
demo (for demonstrations).

Paper submissions will have to be formatted in the style of
Springer Publications format for Lecture Notes in Computer
Science (LNCS). Submissions will be made using EasyChair
Conference Systems, and the proceedings of the papers will be
provided by CEUR-WS.

Organising Committee

Dr. Vitaveska Lanfranchi, University of Sheffield, UK

Suvodeep Mazumdar, University of Sheffield, UK

Dr. Eva Blomqvist, Linköping University, Sweden

Dr. Christopher Brewster, Aston University, UK

More Information: SMILE 2013 http://oak.dcs.shef.ac.uk/?q=smile

--
Irina Temnikova, B.A., M.A., Ph.D.

Computational linguist PC Coordinator of the International
Conference RANLP 2013 Postdoc at the EU-funded project AComIn,
Bulgarian Academy of Sciences Sofia, Bulgaria

http://pers-www.wlv.ac.uk/~in0290/

If you want to build a ship, don't drum up the men to gather
wood, divide the work and give orders. Instead, teach them to
yearn for the vast and endless sea. (Antoine de Saint-Exupery)

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