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"David A. Shamma" <[log in to unmask]>
Wed, 21 Jan 2015 13:49:39 -0800
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4th International Workshop on Detection, Representation, and
Exploitation of Events in the Semantic Web (DeRiVE 2015)

Co-located with the 12th Extended Semantic Web Conference (ESWC 2015),
31 May - 4 June, Portoroz, Slovenia

Workshop Web Site:
E-mail address: [log in to unmask]
Twitter Hashtag: #derive2015

*Important Dates*

- Deadline for paper submission: Friday, 6 March 2015,
  23:59 (Hawaiian time)
- Notification of acceptance/rejection: Friday, 3 April 2015
- Deadline for camera-ready version: Friday, 17 April 2015

*Workshop Summary*

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 and its goal is to
formulate answers to these questions that advance and reflect the
current state of understanding and application of events. Each
submission will be expected to address at least one question
explicitly, if possible including a system demonstration. The
most substantial contributions to the workshop will be presented
orally (and if possible with a demo) in sessions organised
according to the questions addressed, with time allocated for
deep discussion.


In recent years, researchers in several communities involved in
aspects of information science have begun to realise the
potential benefits of assigning an important role to events in
the representation and organisation of knowledge and
media-benefits which can be compared to those of representing
entities such as persons or locations instead of just dealing
with more superficial objects such as proper names and
geographical coordinates. While a good deal of relevant research
for example, on the modeling of events has been done in the
semantic web community, much complementary research has been done
in other, partially overlapping communities, such as those
involved in multimedia processing, information extraction, sensor
processing and information retrieval research. However, these
areas often deal with events with a different perspective. The
attendance of DeRiVE 2011, DeRiVE 2012 and DeRiVE 2013 proved
that there is a great interest from many different communities in
the role of events. The results presented in there also indicated
that dealing with events is still an emerging topic. The goal of
this workshop is to advance research on the role of events within
the information extraction and semantic web communities, both
building on existing work and integrating results and methods
from other areas, while focusing on issues of special importance
for the semantic web.


We have defined questions for the two main directions that
characterise current research into events on the semantic
web. Orthogonal to that, we have identified a number of
application domains in which we will actively seek contributions.

Question 1: How can events be detected and extracted for the
semantic web?

 - How can events be detected, extracted and/or summarized in
   particular types of content on the web, such as calendars of
   public events, social media, semantic wikis, and regular web

 - What is the quality and veracity of events extracted from
   noisy data such as microblogging sites?

 - How can a system recognise a complex event that comprises
   several sub-events?

 - How can a system recognise duplicate events?

Question 2: How can events be modeled and represented in the
semantic web?

 - How are events currently represented on the Web? In
   particular, how deployed is the Event class? Should
   scheduled events versus breaking events be represented the
   same way?

 - To what extent can the many different event infoboxes of
   Wikipedia be reconciled?  How to deal with the numerous
   Timeline of xxx topics in knowledge bases?

 - How can existing event representations developed in other
   communities be adapted to the needs of the semantic web? To
   what extent can/should a unified event model be employed for
   different types of events?

 - How do social contexts (Facebook, Twitter, etc.) change the
   implicit content semantics?

*Application Domains*

Research into detection (question 1) and representation (question
2) of events is being implemented in various application
domains. We encourage submissions about the visualization of
events, search and browsing of event data, and interaction with
event data within a particular domain. This will contribute to a
discussion on the possibly different requirements of models and
tools in these domains. Known application domains that we target

 - Personal events
 - Cultural and sports events
 - Making something out of "raw" events
 - Historic events and events in news and other media
 - Scientific observation events
 - Supply chain events


Submissions should not exceed 10 pages and are to be formatted
according to Springer LNCS
guidelines (
and submitted to Papers
should be submitted in PDF format. The workshop proceedings will
be published online through CEUR-WS.


Marieke van Erp, VU University Amsterdam
Raphaƫl Troncy, EURECOM
Marco Rospocher, Fondazione Bruno Kessler
Willem Robert van Hage, SynerScope B.V.
David A. Shamma, Yahoo Labs

*Program Committee*

Jans Aasman, Franz Inc., USA
Eneko Agirre, University of the Basque Country, Spain
Stefano Borgo, CNR, Italy
Loris Bozzato, FBK, Italy
Christian Hirsch, University of Auckland, New Zealand
Jane Hunter, University of Queensland, Australia
Tomi Kauppinen, Aalto University, Finland
Azam Khan, Autodesk Research, Canada
Erik Mannens, Ghent University - IBBT, Belgium
Ingrid Mason, Intersect, Australia
Diana Maynard, University of Sheffield, UK
Adrian Paschke, Freie Universiteit Berlin, Germany
Giuseppe Rizzo, EURECOM, France
Ansgar Scherp, Kiel University, Germany
Ryan Shaw, University of North Carolina at Chapel Hill, USA
Thomas Steiner, Google Inc, Germany
Kerry Taylor, CSIRO & Australian National University, Australia
Denis Teyssou, Agence France-Presse, France

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