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KMi Seminars
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.

 
KMi Seminars
 

Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.