Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011)
Full Day Workshop in conjunction with the 10th International Semantic Web Conference 2011 23/24 October 2011, Bonn, Germany
Important Dates
Deadline for paper submission: 8 August 2011 23:59 (11:59pm) Hawaii time
Notification of Acceptance: 29 August 2011 23:59 (11:59pm) Hawaii time
Camera-ready version: 8 September 2011
Workshop: 23 or 24 October 2011
Abstract:
The goal of DeRiVE 2011 is to strengthen the participation of the semantic web community in the recent surge of research on the use of events as a key concept for representing knowledge and organizing and structuring media on the web. The workshop invites contributions to three central questions, and the goal is to formulate answers to these questions that advance and reflect the current state of understanding of events in the semantic web. Each submission will be expected to address at least one question explicitly, and, if possible, include a system demonstration. We have released an event challenge dataset for use in the preparation of contributions, with the goal of supporting a shared understanding of their impact. A prize will be awarded for the best use(s) of the dataset; but the use of other datasets will also be allowed.
See the CFP for questions papers must address.
Also note the anticipated release of a dataset:
We will release a dataset of event data. In addition to regular papers, we invite everybody to submit a Data Challenge paper describing work on this dataset. We welcome analyses, extensions, alignments or modifications of the dataset, as well as applications and demos. The best Data Challenge paper will get a prize.
The dataset consists of over 100.000 events from three sources: the music website Last.fm, and the entertainment websites upcoming.yahoo.com and eventful.com. All three are represented in the LODE schema. Next to events, they contain artists, venues and location and time information. Some links between the instances of the three datasets are provided.
Suggestions for modeling events in topic maps?