Tech Reports
Tech Report kmi-00-10 Abstract
Knowledge Management in a Distributed Organisation
Techreport ID: kmi-00-10
Date: 2000
Author(s): Martin Dzbor, Jan Paralic and Marek Paralic
Knowledge has become an important asset in a modern enterprise. Straightforward and fast access to knowledge possessed by its employees may significantly influence the competitiveness of an enterprise. It has become very important for advanced organisations to make the best use of information gathered from various document sources inside companies and from external sources like the Internet. There are many technologies under de-velopment, which address knowledge discovery. On the other hand, there is a lack of efficient technologies focused on organising and sharing of existing knowledge. In this paper we introduce the research in scope of KnowWeb (EC funded project). We focus our attention on two important issues ö (i) how to capture tacit, contextual knowledge that is connected to the documents and (ii) how to support knowledge management in geographically distributed organi-sations through up-to-date communication and AI technologies.
Publication(s):
In 'Advances in Networked Enterprises' (Eds. L.M. Camarinha-Matos, H. Afsarmanesh, H.-H. Erbe), Kluwer Publ.; 4th IEEE/IFIP Conference on IT for Balanced Automation Systems, Berlin, Germany, September 2000
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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