Knowledge Management System
INTRODUCTION
Knowledge Management System (KM System) refers to a (generally IT based) system for managing knowledge in organizations, supporting creation, capture, storage and dissemination of information. It can comprise a part (neither necessary or sufficient) of a Knowledge Management initiative.
Knowledge Management Systems (KMS) are technologies that support Knowledge
Management (KM) in organizations, specifically - knowledge generation, codification, and transfer (Ruggles, 1997). The use of KM in organizations is now widely recognized and expected to be an important part of organizational practices in the future.
The idea of a KM system is to enable employees to have ready access to the organization's based documented of facts, sources of information, and solutions. For example a typical claim justifying the creation of a KM system might run something like this: an engineer could know the metallurgical composition of an alloy that reduces sound in gear systems. Sharing this information organization wide can lead to more effective engine design and it could also lead to ideas for new or improved equipment.
A KM system could be any of the following:
1. Document based i.e. any technology that permits creation/management/sharing of formatted documents such as Lotus Notes, web, distributed databases etc.
2. Ontology/Taxonomy based: these are similar to document technologies in the sense that a system of terminologies (i.e. ontology) are used to summarize the document e.g. Author, Subj, Organization etc. as in DAML & other XML based ontologies
3. Based on AI technologies which use a customized representation scheme to represent the problem domain.
4. Provide network maps of the organization showing the flow of communication between entities and individuals
5. Increasingly social computing tools are being deployed to provide a more organic approach to creation of a KM system.
KMS systems deal with information (although Knowledge Management as a
Knowledge Management System (KM System) refers to a (generally IT based) system for managing knowledge in organizations, supporting creation, capture, storage and dissemination of information. It can comprise a part (neither necessary or sufficient) of a Knowledge Management initiative.
Knowledge Management Systems (KMS) are technologies that support Knowledge
Management (KM) in organizations, specifically - knowledge generation, codification, and transfer (Ruggles, 1997). The use of KM in organizations is now widely recognized and expected to be an important part of organizational practices in the future.
The idea of a KM system is to enable employees to have ready access to the organization's based documented of facts, sources of information, and solutions. For example a typical claim justifying the creation of a KM system might run something like this: an engineer could know the metallurgical composition of an alloy that reduces sound in gear systems. Sharing this information organization wide can lead to more effective engine design and it could also lead to ideas for new or improved equipment.
A KM system could be any of the following:
1. Document based i.e. any technology that permits creation/management/sharing of formatted documents such as Lotus Notes, web, distributed databases etc.
2. Ontology/Taxonomy based: these are similar to document technologies in the sense that a system of terminologies (i.e. ontology) are used to summarize the document e.g. Author, Subj, Organization etc. as in DAML & other XML based ontologies
3. Based on AI technologies which use a customized representation scheme to represent the problem domain.
4. Provide network maps of the organization showing the flow of communication between entities and individuals
5. Increasingly social computing tools are being deployed to provide a more organic approach to creation of a KM system.
KMS systems deal with information (although Knowledge Management as a