KMi Seminars
A Walk on the Web
This event took place on Wednesday 30 November 2005 at 12:30

 
Dr. Helen Ashman School of Computer Science and Information Technology, University of Nottingham, United Kingdom

Web research has no real boundaries but many connections between fields of related research. Even its internal categorisations are largely artificial. For example, what we call 'hypertext' has roots in information studies, literature and film, and relies on mathematics for its formalisms. In turn, it forms the basis for many other fields of Web research, including adaptive hypermedia and online learning systems, information visualisation and (at least some of its mathematics) can form the basis for such seemingly unrelated topics such as modelling complexity.

In this talk, we will look at a collection of Web research topics from the Web Technologies Lab (WebTech) in Nottingham, considering the topics' relationships and mutual influence. The talk itself will be a hypertext, so that we can travel the relationships between areas via links.

Related Links:
Online Presentation (slides)

 
KMi Seminars
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website