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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
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.