Tech Reports
Tech Report kmi-01-17 Abstract
Research Proposal: An Adaptive, Evolutionary User Profile for Knowledge Management.
Techreport ID: kmi-01-17
Date: 2001
Author(s): Nikolaos Nanas
In order to provide the knowledge worker with potentially useful information, we propose an architecture for the development of an adaptive, evolutionary user profile. The profile has the ability to adapt to modest, frequent changes to the individual's information needs and in addition to evolve, in order to adjust to more radical but less frequent changes. In order to descrive the architecture, we discuss the profile's initialization, its evolutionary mechanism, the way it evaluates documents and the way it is adapted. Furthermore, we present a number of knowledge management services and the way that they can be realized based on the proposed architecture. We conclude by enumerating the different stages of the system's development and the corresponding experimentation and testing that will take place at its stage. Keywords: Knowledge management, user profiling, associative networks, adaptation, evolution.
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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