Appel: Social Media and Linked Data for Emergency Response (SMILE) Workshop @ESWC 2013, Deadline extension until March 17th

[Thierry Hamon]

Date: Fri, 8 Mar 2013 20:43:43 +0200
From: Irina Temnikova <irina.temnikova at gmail.com>
Message-ID: <CAFDY9GaONav6M8dsKOv+BOmk7Lxtu+xw-f-KQzBQVW0UuYWSzg at mail.gmail.com>
X-url: http://oak.dcs.shef.ac.uk/?q=smile

*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

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