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KMi Seminars
Improving Web Search using Trust and Social Networks
This event took place on Wednesday 25 October 2006 at 11:30

 
Tom Heath KMi, The Open University

Conventional search engines treat all users the same. Relevance is seen as a relationship between a query and a resource, ignoring aspects of the user's information need that are not explicit in the query. This contrasts with offline information seeking, where people frequently use social networks of known individuals as a source of information and as a basis for assessing its relevance. In this presentation I will outline our approach to personalised information seeking, based on computing trust relationships between the user and members of their social networks as a means to rank and filter resources. Results of an empirical study underlying this approach will be presented, followed by a demonstration of parts of the infrastructure through which our approach will be realised.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

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.