Tech Reports
Tech Report kmi-98-11 Abstract
Evolving the Web for Scientific Knowledge: First Steps Towards an "HCI Knowledge Web"
Techreport ID: kmi-98-11
Date: 1998
Author(s): Simon Buckingham Shum
In this article, I consider the challenge of building a Web-based infrastructure for scholarly research which moves beyond the basic dissemination and linking of documents, to support more powerful searching and analysis of the cumulative knowledge in the literature1s documents. Taking the HCI research community as an example, the goal would be to enable HCI researchers to search for interesting documents and phenomena, and discover previously unknown but conceptually related research, for instance, other groups addressing persistent problems in the field, the structure of debates, or when and how new theoretical perspectives began to make an impact. I propose that focusing on the scientific relationships between documents is important, and has advantages as the basis for a Web metadata scheme to enrich the HCI community1s Web.
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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