CALL FOR PAPERS:
* Social Media and Linked Data for Emergency Response Workshop *
Workshop website:
http://oak.dcs.shef.ac.uk/?q=smile
Co-located with the 10th Extended Semantic Web Conference - May 26-30,
2013 at Montpellier, France
IMPORTANT DATES
====================================
Submission Deadline: March 4, 2013
Acceptance Notification: April 1, 2013
Camera-Ready: April 15, 2013
OVERVIEW
========
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;
TOPICS OF INTEREST
==================
The following topics are of special interest to SMILE:
- Semantic Annotation, for understanding the content and context of
social media streams
- Integration of Social Media with Linked Data
- Interactive Interfaces and visual analytics methodologies for managing
multiple large-scale, dynamic, evolving datasets.
- Stream reasoning and event detection
- Social Data Mining
- Collaborative tools and services for Citizens, Organisations, Communities
- Privacy, ethics, trustworthiness and legal issues in the Social
Semantic Web
- Use case analysis, with specific interest for use cases that involve
the application of Social Media and Linked Data methodologies in
real-life scenarios
Applied in the context of:
- Crisis and Disaster Management
- Emergency Response
- Security and Citizen journalism
PAPER SUBMISSION
================
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).
More details at http://oak.dcs.shef.ac.uk/?q=smile
WORKSHOP ORGANIZERS
===================
- 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
PROGRAMME COMMITTEE (To be completed...)
===================
Neil Ireson, University of Sheffield, United Kingdom
Dr. Sam Chapman, K-Now, United Kingdom
Amparo Elizabeth Cano Basave, KMI, United Kingdom
Dr. Rodrigo Carvalho, K-Now, United Kingdom
Andrea Varga, University of Sheffield, United Kingdom
Dr. Irina Temnikova, University of Wolverhampton, United Kingdom
More details at http://oak.dcs.shef.ac.uk/?q=smile
