Dynamic Knowledge Management Toolkit pp261-266
An important aspect of knowledge management is the implementation of methods to share the unstructured knowledge of expert practitioners within an organization. The existence of unstructured and dynamic knowledge represents a challenge to experts due to the dynamic and non‑sequential nature of such knowledge. In order to make such knowledge sharable, it is necessary to have both an effective elicitation method and a useful representation toolkit. In this paper we describe a Dynamic Knowledge Toolkit (DKT) that is used in knowledge elicitation and representation based upon Knowledge maps. Knowledge Maps content is different from the more general information in typical reference material and that is organized quite differently than standard textbook knowledge or mainstream hypermedia learning systems. These knowledge models tend to be large and complex with interwoven themes and rich interconnections of the concepts based on the expert's highly articulated mental model of the domain. Knowledge Maps have been used in all facets of education, training and business. With the fundamental goal of fostering learning and knowledge sharing they have been shown to be an effective tool for displaying prior knowledge, summarizing, planning, scaffolding for understanding, consolidating experiences, improving affective conditions for critical thinking, decision making, supporting cooperation and collaboration, and organizing unstructured knowledge content. We describe the use of the toolkit in a case study on the capture and representation of local weather forecasting knowledge. We also show how Knowledge maps can be used to support activities such as the preservation of institutional memory, the "recovery" of expertise that might reside in less accessible forms such as archived documents, for performance support, and for other knowledge‑intensive pursuits such as weather forecasting or crisis management.
: Agriculture must evolve into a more environmentally‑friendly approach while remaining economically workable. This type of agriculture is said to be sustainable. It has a systemic logic and therefore requires a strong knowledge base. In this study we propose a knowledge management IT‑based system. In the first part of our article, we discuss the potential actors of the system and their possible implications. The second part deals with the knowledge selection and formalization. The third part describes the main computing features of the knowledge server we propose.
Keywords: sustainable agriculture, organic farming, knowledge management system for agriculture knowledge modeling