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From Data of Internet of Things to Domain Knowledge: A Case Study of Exploration in Smart Agriculture

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New Trends in Computer Technologies and Applications (ICS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1723))

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Abstract

Data collected from the Internet of Things (IoT) covers a variety of dimensions indicating some features of a specific monitoring eco-environment. The feature correlation may not easy to identify due to the metadata eliminated between discrete dimensions of IoT data. How to transform discrete IoT data into its domain knowledge becomes an interesting research topic. This paper proposes a novel methodology to formalize the IoT data to the domain knowledge. Through exploring a real smart agriculture case, we understand the deployment of an IoT system in a tea eco-environment. The correlation matrix is produced to present the relationships between IoT sensor data. Principal component analysis reduces the volume of data dimensions. A semantic network is constructed to deploy the associations of discrete IoT data. Multi-criteria decision analysis is used to get recommended domain knowledge from the semantic network. The contribution of this paper is to propose a novel methodology to transform discrete IoT data into its domain knowledge.

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Acknowledgment

This research was supported in part by the National Taichung University of Science and Technology, with grants NTCUST111-05 and NTCUST111-22.

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Authors and Affiliations

  1. Department of Business Management, National Taichung University of Science and Technology, No. 129, Section 3, Sanmin Road, North District, Taichung, 404, Taiwan, R.O.C.

    Mei-Yu Wu

  2. Department of Information Management, National Taichung University of Science and Technology, No. 129, Section 3, Sanmin Road, North District, Taichung, 404, Taiwan, R.O.C.

    Chih-Kun Ke

Authors
  1. Mei-Yu Wu
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  2. Chih-Kun Ke
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Correspondence to Chih-Kun Ke .

Editor information

Editors and Affiliations

  1. National Cheng Kung University, Tainan, Taiwan

    Sun-Yuan Hsieh

  2. National Taipei University of Business, Taoyuan, Taiwan

    Ling-Ju Hung

  3. CNRS and University of Bordeaux, Talence, France

    Ralf Klasing

  4. National Taitung University, Taitung, Taiwan

    Chia-Wei Lee

  5. National Taipei University of Business, Taoyuan, Taiwan

    Sheng-Lung Peng

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Wu, MY., Ke, CK. (2022). From Data of Internet of Things to Domain Knowledge: A Case Study of Exploration in Smart Agriculture. In: Hsieh, SY., Hung, LJ., Klasing, R., Lee, CW., Peng, SL. (eds) New Trends in Computer Technologies and Applications. ICS 2022. Communications in Computer and Information Science, vol 1723. Springer, Singapore. https://doi.org/10.1007/978-981-19-9582-8_50

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  • DOI: https://doi.org/10.1007/978-981-19-9582-8_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9581-1

  • Online ISBN: 978-981-19-9582-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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