The 12th International Semantic Web Conference
and the 1st Australasian Semantic Web Conference
21-25 October 2013, Sydney, Australia

DeRiVE 2013

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

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

Workshop webpage

http://derive2013.wordpress.com/

Organizing committee

Abstract

Events are at the heart of many of our daily information sources, being microposts, newswire, calendar information or sensor data. For detecting, representing and exploiting events in these sources, different research communities are each trying to resolve a small part of this puzzle. The goal of this workshop is to bring together those different areas in the recent surge of research on the use of events as a key concept for representing and organising knowledge on the Web. The workshop invites contributions to two central questions: i) How can events be detected and extracted for the semantic web? and ii) How can events be modeled and represented in the semantic web?

Monday - Oct 21 - SMC

 

DeRiVE 2013

[Afternoon]

12:45 - 13:45 Lunch
13:45 - 15:30

Workshop Introduction: message from the chairs

Keynote Speaker:

  • Emanuele Della Valle. Listening to the pulse of our cities during City Scale Events

Session 1:

  • Oana Inel, Lora Aroyo, Chris Welty and Robert-Jan Sips. Domain-Independent Quality Measures for Crowd Truth Disagreement
  • Aldo Gangemi, Ehab Hassan, Valentina Presutti and Diego Reforgiato Recupero. FRED as an Event Extraction Tool (demo)
15:30 - 16:00 Afternoon Tea
16:00 - 17:30

Session 2:

  • Monika Solanki and Christopher Brewster. Representing Supply Chain Events on the Web of Data
  • Thomas Ploeger, Maxine Kruijt, Lora Aroyo, Frank De Bakker, Iina Hellsten and Antske Fokkens. Extractivism: Extracting activist events from news articles using existing NLP tools and services
  • Jesper Hoeksema and Willem Robert Van Hage. A case study on automated risk assessment of ships using newspaper-based event extraction