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.
This event took place on Monday 09 May 2005 at 14:00
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.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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