Abstract
Stakeholders in the maritime industry have agreed to expand commercial operations by developing autonomous vessels, the epitome of innovative technologies. However, they are still concerned about the risks of infringing on the rights and interests of individuals or organizations linked to data transactions. Based on Locke’s theory of property ownership, and the assurance of absolute ownership as specified in the Constitution of the Republic of Korea, the business model is still in its early stages. This study examined the concept, transaction structure, and application scope of data activating digital platforms to support data transactions, and aid in advancing the new business sector for commercial operations of maritime autonomous surface ships (MASSs). Consequently, this study contributes to and recognizes the future value of knowledge and intellectual property related to maritime data. This is achieved by defining the intellectual property emerging from newer avenues, such as MASSs, blockchain technology, and smart ports, that are consequential to the rapid development of the maritime industry.
Highlights
The maritime sector is no exception, having adopted various technologies that use artificial intelligence (AI), big data, the internet of things (IoT), and land-based transportation networks to accelerate the development of maritime autonomous surface ships (MASSs), smart ports, and blockchain-based maritime logistics [2]
Concepts of Maritime Data Linked to Autonomous Vessels
The primary-level raw materials that make up the comprehensive conceptual data include the raw facts and evidence needed to apply feasible theories, empirical evidence verified by proven methods, or experiments derived from scientific simulations, and facts, letters, voices, and pictures acquired through a phenomenological survey of literature [24]
Summary
The first Industrial Revolution of 1760–1820—characterized by technological innovation and the transition to machine-based production processes—exponentially increased production capacity. The chair of the World Economic Forum introduced the term in 2016 to describe the use of smart technology to automate traditional manufacturing, and industrial processes in which the primary level of raw materials has added a secondary level of information and a tertiary level of knowledge [1]. Various stakeholders share convergence content based on information technology through automation and integration. The maritime sector is no exception, having adopted various technologies that use artificial intelligence (AI), big data, the internet of things (IoT), and land-based transportation networks to accelerate the development of maritime autonomous surface ships (MASSs), smart ports, and blockchain-based maritime logistics [2]
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