Pictogram network: Evaluating english composition skills

Yoshizawa-Watanabe, Sayuri; Kunigami, Masaaki; Takahashi, Satoshi; Terano, Takao; Yoshikawa, Atsushi

doi:10.1109/ipcc.2012.6408644

Cited by 2 publications

(1 citation statement)

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“…To describe data businesses, users can employ graphical icons (pictograms) to easily share and understand the overall structure of the business models. Yoshizawa et al proposed a semantic network for knowledge-sharing using pictograms [13]. This method introduces a network of elements, including humans and actions, and is intended to be used in education, which is a different domain from the one considered here.…”

Section: Stakeholder-centric Value Chain Of Datamentioning

confidence: 99%

Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem

Hayashi

Ishimura²,

Ohsawa

2021

Knowledge Management and Acquisition for Intelligent Systems

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In recent years, the expectation that new businesses and economic value can be created by combining/exchanging data from different fields has risen. However, value creation by data exchange involves not only data, but also technologies and a variety of stakeholders that are integrated and in competition with one another. This makes the data exchange ecosystem a challenging subject to study. In this paper, we propose a model describing the stakeholder-centric value chain (SVC) of data by focusing on the relationships among stakeholders in data businesses and discussing creative ways to use them. The SVC model enables the analysis and understanding of the structural characteristics of the data exchange ecosystem. We identified stakeholders who carry potential risk, those who play central roles in the ecosystem, and the distribution of profit among them using business models collected by the SVC.

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Section: Stakeholder-centric Value Chain Of Datamentioning

confidence: 99%