=Paper=
{{Paper
|id=Vol-1329/prefacesmile2014
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1329/preface-SM.pdf
|volume=Vol-1329
|dblpUrl=https://dblp.org/rec/conf/esws/ConsoliGNPPRS14
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1329/preface-SM.pdf</pdf>
<pre>
                                Preface
    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 [1] is therefore paramount to ensure a timely and effec-
tive response. Thus, for an incident to be dealt with effectively, citizens and
responders must be able to share reliable information and help build an un-
derstanding of the current local and global situation and how this may evolve
over time [2]. 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. Integrat-
ing this information with Linked Data, such as geographic or demographic
data, could greatly enrich its value to better prevent and respond to disasters
and crises. Analysing, modelling and integrating social media content and
Linked Data presents significant technical as well as social challenges. Social
data is: (i) high in volume, rapidly changing and constantly increasing, (ii)
often duplicated, incomplete, imprecise and potentially incorrect; (iii) textual
content may be written in informal style (i.e., short, unedited and conver-
sational), thus much less grammatically bounded and containing extensive
use of shorthand, symbols (e.g., emoticons), misspellings etc.; (iv) gener-
ally concerning the short-term zeitgeist; and (v) covering every conceivable
domain. For this the workshop on Social Media and Linked Data for Emer-
gency Response (SMILE2014) called for papers on innovative approaches for
exploitation of social media and Linked Data for emergency response and
crisis management using semantic web technologies. To address this the
proceedings include papers ranging from vehicle routing to crowd-sourcing,
social media mining and visualization.


   January 2015

SMILE2014 Chairs


                                      29
Vitaveska Lanfranchi
Tomi Kauppinen


References
[1] Wong, W. and Blandford, A. Describing Situation Awareness at an
    Emergency Medical Dispatch Centre. In Proc. Human Factors and Er-
    gonomics Societys 48th Annual Meeting. Santa Monica, CA: HFES. 285–
    289. (2004)

[2] Endsley, Mica R Toward a theory of situation awareness in dynamic
    systems. Human Factors: The Journal of the Human Factors and Er-
    gonomics Society 37.1, (1995). pp. 32–64.




                                  30

</pre>