Visual navigation of distributed knowledge structures in groupware‐based organizational memories
| Autor: | Ingo Erdmann, Stefan Smolnik |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Collaborative software
Knowledge management Exploit business.industry Topic Maps Computer science Data science Structuring Distributed knowledge Conceptual framework Computer-supported cooperative work Organizational learning Business Management and Accounting (miscellaneous) Business and International Management business |
| Zdroj: | Business Process Management Journal. 9:261-280 |
| ISSN: | 1463-7154 |
| DOI: | 10.1108/14637150310477885 |
| Popis: | Many of today's organizations already have a strong integration of groupware systems within their IT‐infrastructure. The shared databases of these groupware systems form organizational memories, which comprise the complete knowledge of an organization collected over the time of its existence. One key problem is how to find relevant knowledge or information in continuously growing and distributed organizational memories. In many cases, the basic functionalities and mechanisms of groupware systems are not sufficient to support users in finding required knowledge or information. Topic maps provide strong paradigms and concepts for the semantic structuring of link networks and therefore, they are a considerable solution for organizing and navigating large and, continuously growing organizational memories. The K‐Discovery project suggests applying topic maps to groupware systems to address the mentioned challenges. Thus, the K‐Discovery project introduces a conceptual framework, an architecture, and an implementation approach to create knowledge structures by generating topic maps from organizational memories and offers navigation tools to exploit the created structures. |
| Databáze: | OpenAIRE |
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