- From: Raphaël Troncy <raphael.troncy@eurecom.fr>
- Date: Wed, 14 Aug 2013 19:33:43 +0200
- To: Linked Data community <public-lod@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 time) - 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: 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* 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. *Chairs* Marieke van Erp, VU University Amsterdam Laura Hollink, VU University Amsterdam Raphaël Troncy, EURECOM Willem Robert van Hage, SynerScope B.V. Piërre 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 -- Raphaël 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 17:34:18 UTC