Tech Reports
Tech Report kmi-05-04 Abstract
Experiences of Two Task Driven User Studies of Hypermedia Information Systems
Techreport ID: kmi-05-04
Date: 2005
Author(s): Victoria Uren, Philipp Cimiano, Simon Buckingham Shum, Enrico Motta
We present two small scale user studies of hypermedia information systems: a hypermedia discourse system designed as an environment for researchers to summarize and share key ideas from research papers as a claim network, and a web browser plug-in which annotates terms related to a selected ontology on the fly. The first study investigated whether a claim network created by one user could help others learn about a domain. The second study investigated whether information extraction techniques for identifying extra domain terms enhanced the system. We discuss the strengths and weaknesses of these studies and the extent to which they achieved their goals.
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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