The Experience-Oriented Smart Embedded System (EOSES) is proposed as a new technological platform providing a common knowledge management approach that allows mass embedded systems for experiential knowledge capturing, storage, involving, and sharing. Knowledge in the EOSES is represented as SOEKS, and organized as Decisional DNA. The platform is mainly based on conceptual principles from Embedded Systems and Knowledge Management. The objective behind this research is to offer large-scale support for intelligent, autonomous, and coordinated KM on various embedded systems. Several conceptual elements of this research have been implemented in testing prototypes, and the experimental results that were obtained show that the EOSES platform can provide active knowledge management to different embedded systems, and it can also enable various systems to learn from their daily operations in many different fields to gather valuable knowledge, assist decision making, reduce human workers’ workload, and improve the system itself. As a result, the EOSES has great potential for meeting today’s demands for embedded systems, and providing a universe knowledge management platform for mass autonomous mechanisms.
Authors
Additional information
- Category
- Publikacja monograficzna
- Type
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language
- angielski
- Publication year
- 2013
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