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KMi Seminars
Information Retrieval and Language Model based Expert Search
This event took place on Wednesday 24 January 2007 at 11:30

 
Jianhan Zhu

Both research and industry communities are paying lots of attention to expert search recently. Text REtrieval Conference (TREC) has organized expert search task for 2005 and 2006. We have participated in TREC 2006 expert search task and achieved the best run judged by all information retrieval measures among 23 groups. We propose to integrate three document characteristics, namely, document authority, document internal structure, and various levels of associations between an expert and a search topic, in addition to document content, in a two-stage language model for effective expert search. We have used the TREC W3C dataset to test the effectiveness of the three document characteristics in terms of measures such as mean average precision, bpref, and Precision@10 etc.

 
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.