| dc.contributor.advisor | Bennan, Sonia | en_ZA |
| dc.contributor.author | Katoma, Victor | en_ZA |
| dc.date.accessioned | 2014-08-13T19:31:08Z | |
| dc.date.accessioned | 2018-11-26T13:52:51Z | |
| dc.date.available | 2014-08-13T19:31:08Z | |
| dc.date.available | 2018-11-26T13:52:51Z | |
| dc.date.issued | 2007 | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/6406 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/11427/6406 | |
| dc.description | Includes bibliographical references (leaves 83-92). | en_ZA |
| dc.description.abstract | This study aims at investigating a framework that utilises the latest advances in KMS technology. This research outlines the framework and describes a system developed around this. The framework is based on fundamental knowledge management concepts, Resource Description Framework (RDF) and basic modeling concepts and tools. It also incorporates notions of knowledge quality measure and a simple inference mechanism in order to probe, learn and adapt the KMS with the changing needs of its users. | en_ZA |
| dc.language.iso | eng | en_ZA |
| dc.subject.other | Information Technology | en_ZA |
| dc.title | A framework for computer-based knowledge management systems | en_ZA |
| dc.type | Thesis | en_ZA |
| dc.type.qualificationlevel | Masters | en_ZA |
| dc.type.qualificationname | MSc | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.publisher.faculty | Faculty of Science | en_ZA |
| dc.publisher.department | Department of Computer Science | en_ZA |
