KMi Seminars
Discovery of Heterogeneous Services
This event took place on Monday 13 June 2011 at 11:30

Alberto Fernandez Universidad Rey Juan Carlos, Madrid, Spain

The talk will deal with the problem of service discovery in open systems. Different service description languages are considered and integrated into a unified framework, which allows specifying advertisements and queries in any of those languages. Those models include semantic models (OWL-S, WSMO), syntactic (WSDL), hybrid (SAWSDL), as well as other lighter approaches (keyword-, cloud-, and text-based service descriptions). Service descriptions are mapped into a unified common model.We do not only consider explicit information specified in structured service descriptions, but we enrich descriptions with additional information extracted using text processing.Then, we will focus on the service matchmaking process. The proposed method combines classical logic-based semantic service matchmaking approaches with concept similarity measures.

 
KMi Seminars
 

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.