Browsing by Author "Sutinen, E."
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item Defining ‘Smart Rural’ in the Framework of Regional Digitalisation(IST-Africa 2021 Conference Proceedings, 2021) Lindblom, P.; Kolog , E.A.; Nygren, E.; Sutinen, E.In this paper, we explored how a smart development framework could be harnessed for enhancing small and medium enterprise (SME) activities in rural communities. With this aim, this study considered and compared the landscape of the SME ecosystems in Ghana and Finland. Alongside the deprived countryside or remote work context, it has become clear that contemporary digital platforms and collaborative media represent an integral part of smart development. In addition, remote working possibilities help tackle challenging times or even a state of emergency, such as the ongoing COVID-19 crisis. We created our Smart rural development model (SRDm) to facilitate the digital transformation of SMEs and strategies in peripheral settings. Our SRDm was developed from the exploration of smart development literature in regional settings, and filtering numerous initiatives utilutilizedhin digitalization SME development context. The key target groups who can benefit from our research endeavor are the various strategic development organizations, financing authorities, and of course regional stakeholders, policymakers, business clusters, SMEs, and individuals.Item Knowledge-based Service for African Traditional Herbal Medicine: A hybrid approach(SciTePress, 2019-09-19) Kolog, E.A.; Devine, S.N.O.; Sutinen, E.; Sääksjärvi, I.Globally, the acceptance and use of herbal and traditional medicine is on the rise. Africa, especially Ghana, has its populace resorting to African Traditional Herbal Medicine (ATHMed) for their healthcare needs due to its potency and accessibility. However, the practice involving its preparation and administration has come into question. Even more daunting is the poor and inadequate documentation covering the preservation and retrieval of knowledge on ATHMed for long-term use, resulting in invaluable healthcare knowledge being lost. Consequently, there is the need to adopt strategies to help curtail the loss of such healthcare knowledge, for the benefit of ATHMed stakeholders in healthcare delivery, industry and academia. This paper proposes a hybrid-based computational knowledge framework for the preservation and retrieval of traditional herbal medicine. By the hybrid approach, the framework proposes the use of machine learning and ontology-based techniques. While reviewing literature to reflect the existing challenges, this paper discusses current technologies suited to approach them. This results in a framework that embodies an ontology driven knowledge-based system operating on a semantically annotated corpus that delivers a contextual search pattern, geared towards a formalized, explicit preservation and retrieval mechanism for safeguarding ATHMed knowledge.