KMi Seminars
Debategraph-building a global debate map
This event took place on Wednesday 26 March 2008 at 11:30

 
Dr. David Price Debategraph

Debategraph is a creative commons venture launched in March 2008 with the goal of creating a free, web-based global map of public debate, in which every argument on every side of every contentious issue is open for all to explore and for all to challenge and improve.

The browser-based, wiki argument visualisation software—Debatemapper—that underpins the Debategraph has been in development for several years, including pilot projects with the UK Prime Minister’s Office and the Royal Society for Arts last summer.

David Price, co-founder of Debategraph, will demonstrate how Debategraph enables web-based collaborative mapping of complex, semantically interrelated debates, and explore: the potential benefits and challenges of large scale public deliberation; Debategraph’s design rationale in response to these; the project to translate and update Robert Horn’s pioneering map of 50 years of academic debate around the Turing Test and computer thought; and the lessons emerging from the pilot project with the UK Prime Minister’s Office.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

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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