KMi Seminars
Beyond searching and browsing
This event took place on Thursday 17 March 2005 at 12:30

 
Tom Heath KMi, The Open University

The web provides a platform for users to perform many varied tasks; finding information, exploring new ideas, and communicating with others are just a few examples. However, not all tasks that users perform (or wish to perform) on the web are well supported by current tools and technologies. Interaction with web resources tends to be dominated by searching and browsing, and attempts to understand user actions on the web have focused mainly on these modes. Furthermore, the tools that support these modes, such as web browsers and search engines often take little account of the user, and the contexts in which they exist.

In this seminar I will briefly introduce scenarios of tasks performed online using current tools. These scenarios will be considered in the light of existing taxonomies of online actions, and I will introduce a new classification of the tasks people perform on the web. A case will be made that tools should take greater account of a user?s context if they are to aid task performance, and I will outline my proposals for task-focused Semantic Web tools that draw on a user?s social context.

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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.

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