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KMi Seminars
An Open Rating System for Collaborative Ontology Evaluation
This event took place on Thursday 31 January 2008 at 11:30

 
Holger Lewen AIFB, Universität Karlsruhe (TH)

Open Rating Systems provide a means for obtaining many opinions on content from different people. The basic idea is that when seeking advice, people turn to someone they trust and whose opinion they value. Based on statements about the perceived trust towards the ability of another user to provide helpful reviews, reviews will be presented in an order that is inferred to be most useful for the user. Basic Open Rating Systems are currently employed when products should be ratable for end-users, like Amazon's product reviews.

In this talk an adapted Open Rating System model is presented that is tailored to ontology reviewing. It will be shown how such a system can be seen used as an ontology evaluation framework that can combine automated and human reviews. Also the status of the ongoing effort of integration with Watson will be discussed.

 
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.