KMi Seminars
Contextualized Knowledge Repositories for the Semantic Web
This event took place on Tuesday 05 April 2011 at 10:45

 
Luciano Serafini Data and Knowledge Management, FBK

Though, most of the knowledge available in the Semantic Web is context-dependent, this aspect is not explicitly supported by semantic web representation languages. Some extensions to cope with this limitation have been studied, however, none seems to be satisfactory enough. Rather than extending Semantic Web languages, we propose to fill this gap by tailoring the well established theories of context, developed in the field of AI, to be applicable inside the current Semantic Web languages. In doing this, we take into account the expressivity limitations of RDF/OWL languages, but also the implementability and scalability of the approach within the state-of-the-art triple stores. In this talk, we present a formal definition of a Contextualized Knowledge Repository, its axiomatization, and the description of a first prototypical implementation on top of SESAME, one of the standard Semantic Web triple stores

 
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.