Multimedia, eScience and the Semantic Web
This event took place on Wednesday 30 July 2008 at 11:00
Suzanne Little
This talk will act as an introduction and provide an overview of my thesis research (titled "A Semantic Framework for the Management, Analysis and Assimilation of Mixed-Media Scientific Data") and (briefly) the work conducted over the past 18 months as a postdoc with the EU Network of Excellence, MUSCLE (Multimedia Understanding through Semantics, Computation and LEarning). This includes the use of semantic web technologies (XML, RDF, ontologies, inferencing rules etc.) to support scientific research through:
*the capture and management of provenance data,
*using semantic inferencing rules and ontologies to annotate regions in images and
*interacting with collections of scientific multimedia.
Finally, I will discuss some of the work I hope to undertake at KMi through the PHAROS project.
This event took place on Wednesday 30 July 2008 at 11:00
Suzanne Little
This talk will act as an introduction and provide an overview of my thesis research (titled "A Semantic Framework for the Management, Analysis and Assimilation of Mixed-Media Scientific Data") and (briefly) the work conducted over the past 18 months as a postdoc with the EU Network of Excellence, MUSCLE (Multimedia Understanding through Semantics, Computation and LEarning). This includes the use of semantic web technologies (XML, RDF, ontologies, inferencing rules etc.) to support scientific research through:
*the capture and management of provenance data,
*using semantic inferencing rules and ontologies to annotate regions in images and
*interacting with collections of scientific multimedia.
Finally, I will discuss some of the work I hope to undertake at KMi through the PHAROS project.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
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.
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