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CFP: Data Challenge at DeRiVE 2013 @ISWC 2013 / deadline = 6 September 2013

From: RaphaŽl Troncy <raphael.troncy@eurecom.fr>
Date: Wed, 14 Aug 2013 19:33:36 +0200
Message-ID: <520BBF70.1090005@eurecom.fr>
To: Semantic Web <semantic-web@w3.org>

3rd International Workshop on Detection, Representation, and 
Exploitation of Events in the Semantic Web (DeRiVE 2013)

Workshop Web Site: http://derive2013.wordpress.com/
Challenge: http://derive2013.wordpress.com/data-challenge/
EasyChair: http://www.easychair.org/conferences/?conf=derive2013
E-mail address: derive2013@easychair.org
Twitter Hashtag: #derive2013

*Important Dates (challenge papers)*
- Deadline for paper submission: Friday, 6 September 2013, 23:59 (Hawaii 
- Short list annoucement: Monday, 23 September 2013


*Data Challenge*
With the data challenge, we would like to stimulate participants to see 
to what extent sensor data can be augmented with information from 
multiple sources, including LOD datasets, social networks and websites. 
In particular, we would like to see how situational awareness of 
maritime operators, such as coastguards, can be improved by providing 
new actionable information. The participants will be provided with a 
large data set of AIS messages and a number of additional data sets, 
such as a set of banned ships, all represented in RDF. The challenge is 
to extend this data set with additional semantics derived from the Web 
and the Linked Open Data cloud and to answer any number of the following 

Questions about increasing situational awareness:
  - Which vessel has made the most sea miles?
  - What is the largest cruise ship in view?
  - What is the ownership graph of a vessel in view?
  - Can the vessels be categorized based on e.g. their behavioural 
patterns, their communication, their history, or their crew?

Questions about providing actionable information:
  - Which vessels in view could be hiding their identity, i.e., provide 
information that is inconsistent with other sources?
  - If you were the coast guard and had the resources to inspect five 
vessels, which vessels would you investigate and for what reason? 
Reasons can vary from a history of smuggling and pollution to a Twitter 
message, and from an abnormal behavioural pattern to owners from a 
country under UN embargo.

Event is a critical entity for documenting information within in 
wireless sensor network domain. Wireless sensor networks have been 
widely deployed to provide scientists with valuable data that measures 
and records information about our environment. Hence, huge collections 
of wireless sensor data streams for scientific research, together with 
the interdisciplinary nature of scientific research lead to the 
following challenges:
  - How to derive from low-level sensor observations a high-level 
understanding of environmental, ecological, biological, human factors 
and their impacts?
  - How to utilize semantic web technologies to achieve integrated 
sensor data sources, especially when information from different sources 
is heavily heterogeneous and even unreliable?
  - How to utilize semantic web technologies to handle large volumes of 
sensor observations which are spatial and temporal?
  - How to semantically link public sensor observations to scientific 
measurements produced by technical sensors or forecasting models?
  - How to incorporate insights from knowledge engineering, data mining, 
environmental science, ecological science, semantic sensor web, and 
biomedical science into general solutions for representing and 
understanding high level events?
  - How to incorporate domain expert knowledge to infer high level 
events and their relationships?
  - How to prevent undesirable activities (collisions, smuggling, 
environmental pollution) using the events extracted from the combined 
data sources?

Submissions should not exceed 10 pages and are to be formatted according 
to Springer LNCS guidelines 
(http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0) and 
submitted to https://www.easychair.org/conferences/?conf=derive2013. 
Papers should be submitted in PDF format. The workshop proceedings will 
be published online through CEUR-WS.

Marieke van Erp, VU University Amsterdam
Laura Hollink, VU University Amsterdam
RaphaŽl Troncy, EURECOM
Willem Robert van Hage, SynerScope B.V.
PiŽrre van de Laar, TNO
David A. Shamma, Yahoo!
Lianli Gao, University of Queensland

*Program Committee*
Jans Aasman, Franz Inc., USA
Eneko Agirre, University of the Basque Country, Spain
Pramod Anantharam, Knoesis, USA
Michael Compton, CSIRO, Australia
Christian Hirsch, University of Auckland, New Zealand
Jane Hunter, University of Queensland, Australia
Pavan Kapanipathi, Knoesis, USA
Azam Khan, Autodesk Research, Canada
Jan Laarhuis, Thales, The Netherlands
Erik Mannens, Ghent University - IBBT, Belgium
Ingrid Mason, Intersect, Australia
Diana Maynard, University of Sheffield, UK
Giuseppe Rizzo, EURECOM, France
Matthew Rowe, Lancaster University, UK
Ryan Shaw, University of North Carolina at Chapel Hill, USA
Thomas Steiner, Google Inc, Germany
Kerry Taylor, CSIRO & Australian National University, Australia

RaphaŽl Troncy
EURECOM, Campus SophiaTech
Multimedia Communications Department
450 route des Chappes, 06410 Biot, France.
e-mail: raphael.troncy@eurecom.fr & raphael.troncy@gmail.com
Tel: +33 (0)4 - 9300 8242
Fax: +33 (0)4 - 9000 8200
Web: http://www.eurecom.fr/~troncy/
Received on Wednesday, 14 August 2013 17:34:08 UTC

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