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KMi Seminars
Improving Lucene's geographical data search performance with R-trees
This event took place on Friday 24 August 2007 at 12:00

 
Evgeny Shadchnev Imperial College London, Department of Computing

Lucene, a state-of-the-art open source information retrieval library, is an efficient solution for indexing and searching textual data. However, some Lucene usage scenarios require handling of geographically augmented data, that is, text documents that contain geographical coordinates (e.g. wikipedia pages about cities). This data is best searched using spacial access methods, such as R-trees, provided that the number of unique documents is large enough to benefit from this approach. An extension to Lucene that improves its speed at searching geographically augmented data is described.

 
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.