KMi Seminars
Evaluation Conferences - Like Gladiators for the Retrieval World?
This event took place on Wednesday 05 August 2009 at 11:30

 
Ainhoa Llorente Coto KMi, The Open University

The purpose of this talk is to review some evaluation conferences in the field of image and video retrieval. The main goal of these evaluation conferences is to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of image and video retrieval methodologies. Other goals are to encourage research on large test collections, to speed the transfer of technology from research labs into commercial products, to increase the availability of appropriate evaluation techniques and finally, to include new evaluation techniques more applicable to current systems. In particular, we will talk about ImageCLEF and TRECVID and will share our experience in participating in the past calls of 2008 and 2009.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.