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Developing a Product Knowledge Graph of Consumer Electronics to Manage Sustainable Product Information

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  • Haklae Kim

    (Department of Library and Information Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea)

Abstract

Transformational computing paradigms, such as artificial intelligence, home automation, and the Internet of Things, are being rapidly applied to consumer electronics products, thus aiding in the development of integrated and innovative features. Hence, ubiquitous computing and electronic devices are increasingly becoming essential to everyday life. In this context, a wide gulf often exists between the capabilities and technical features of consumer electronic devices and the consumers’ understanding of such devices and ability to operate them correctly and effectively. This study proposes a machine-readable knowledge model representing technical terms in product specifications along with a product knowledge graph to discover semantic relationships among various products. Formal concept analysis is applied to conceptually analyze the specification terms of heterogeneous electronic products and design a hierarchical knowledge structure of extracted concepts, to elaborate the proposed knowledge model.

Suggested Citation

  • Haklae Kim, 2021. "Developing a Product Knowledge Graph of Consumer Electronics to Manage Sustainable Product Information," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1722-:d:494093
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