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
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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