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KMi Seminars
Image retrieval by word association
This event took place on Monday 09 May 2005 at 14:00

 
Dr. Philip Edmonds Sharp Laboratories of Europe

Have you ever wanted to find an image or sound to illustrate an abstract concept? Or an image that is metaphorically associated with some text rather than described by the text? This talk will present research on how one can retrieve (text-annotated) images that are related in various ways to a text query, and organize them in a user interface. The method identifies various possible 'interpretations' of the input query using word sense disambiguation techniques (i.e., clustering), and generates an expanded query for each interpretation. The research is an application of lexical association scores (including co-occurrence and similarity scores). This kind of search could eventually have applications in better image search engines, or in the automatic illustration of news articles.

 
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.