Scholarly Hypertext
This event took place on Wednesday 11 August 2004 at 10:00
Dr Simon Buckingham Shum
This talk is a recorded introduction by Simon Buckingham Shum, Hypertexts Programme Chair to the ACM Hypertext 2004, for the panel on Scholarly Hypertext, held August 9-13, 2004, Santa Cruz. It sets the context for the panel discussion on the HT'04 conference's radical experiment in soliciting and publishing hypertext research contributions as hypertexts, before inviting the panellists to reflect on the experiment and envision future developments. The original HT'04 call for hypertext submissions can be viewed here.
This event took place on Wednesday 11 August 2004 at 10:00
This talk is a recorded introduction by Simon Buckingham Shum, Hypertexts Programme Chair to the ACM Hypertext 2004, for the panel on Scholarly Hypertext, held August 9-13, 2004, Santa Cruz. It sets the context for the panel discussion on the HT'04 conference's radical experiment in soliciting and publishing hypertext research contributions as hypertexts, before inviting the panellists to reflect on the experiment and envision future developments. The original HT'04 call for hypertext submissions can be viewed here.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

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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