Modelling Knowledge Management Systems of a Distance Education Institution, supported by Semantic Web Technology
This event took place on Wednesday 01 November 2006 at 11:30
Liza Mu
Knowledge management is important to every organisation, especially to distance education institutions where staff are geographically dispersed, and students are separated from the university, tutors and classmates. What are the main knowledge management requirements of a distance education institution? How can knowledge management systems solve those requirements? How can semantic web technologies support the knowledge management systems? In this talk, I will present my research motivation, expectation, investigation and conclusion about them. I will also describe the approach to model the knowledge management systems based on user and knowledge ontologies.
This event took place on Wednesday 01 November 2006 at 11:30
Knowledge management is important to every organisation, especially to distance education institutions where staff are geographically dispersed, and students are separated from the university, tutors and classmates. What are the main knowledge management requirements of a distance education institution? How can knowledge management systems solve those requirements? How can semantic web technologies support the knowledge management systems? In this talk, I will present my research motivation, expectation, investigation and conclusion about them. I will also describe the approach to model the knowledge management systems based on user and knowledge ontologies.
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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