GRIAL Research Group, Computer Science Department, University of Salamanca, 37008 Salamanca, Spain.
VisUSAL, GRIAL Research Group, Computer Science Department, University of Salamanca, 37008 Salamanca, Spain.
Sensors (Basel). 2020 Jul 22;20(15):4072. doi: 10.3390/s20154072.
Knowledge management is one of the key priorities of many organizations. They face different challenges in the implementation of knowledge management processes, including the transformation of tacit knowledge-experience, skills, insights, intuition, judgment and know-how-into explicit knowledge. Furthermore, the increasing number of information sources and services in some domains, such as healthcare, increase the amount of information available. Therefore, there is a need to transform that information in knowledge. In this context, learning ecosystems emerge as solutions to support knowledge management in a different context. On the other hand, the dashboards enable the generation of knowledge through the exploitation of the data provided from different sources. The model-driven development of these solutions is possible through two meta-models developed in previous works. Even though those meta-models solve several problems, the learning ecosystem meta-model has a lack of decision-making support. In this context, this work provides two main contributions to face this issue. First, the definition of a holistic meta-model to support decision-making processes in ecosystems focused on knowledge management, also called learning ecosystems. The second contribution of this work is an instantiation of the presented holistic meta-model in the healthcare domain.
知识管理是许多组织的重点之一。他们在实施知识管理流程时面临着不同的挑战，包括将隐性知识——经验、技能、洞察力、直觉、判断和诀窍转化为显性知识。此外，在某些领域（如医疗保健）中，信息源和服务的数量不断增加，增加了可用信息的数量。因此，需要将这些信息转化为知识。在这种情况下，学习生态系统应运而生，成为支持不同背景下知识管理的解决方案。另一方面，仪表盘通过利用来自不同来源的数据来生成知识。通过在以前的工作中开发的两个元模型，可以实现这些解决方案的模型驱动开发。尽管这些元模型解决了一些问题，但学习生态系统元模型缺乏决策支持。在这种情况下，这项工作提供了两个主要贡献来解决这个问题。首先，定义了一个整体的元模型来支持专注于知识管理的生态系统中的决策过程，也称为学习生态系统。这项工作的第二个贡献是在医疗保健领域实例化了所提出的整体元模型。
