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KMi Seminars
An Evaluation Framework for Semantic Metadata
This event took place on Wednesday 24 October 2007 at 11:30

 
Yuangui Lei KMi, The Open University

Because poor quality semantic metadata can destroy the effectiveness of semantic web technology by hampering applications from producing accurate results, it is important to have frameworks that support their evaluation. However, there is no such framework developed to date. In this context, we proposed i) an evaluation reference model, which sketches some fundamental principles for evaluating semantic metadata, and ii) an evaluation framework, which provides a set of instruments to support the
detection of quality problems and the collection of quality metrics
for these problems. In this talk, I will present the reference model and evaluation framework.

(Due to upgrading of webcasting facility this event will not be available as a webcast or a replay)

 
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.