[Corpora-List] Deadline extension until March 17th : Social Media and Linked Data for Emergency Response (SMILE) Workshop @ESWC 2013

[Andrea Varga]

*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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