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
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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