Abstract
Here, the authors show that open communication with abductive reasoning contributes to data-interactive innovation by externalizing living contexts and feature concepts that form key concepts to bridge the social requirements and features of datasets. The authors first introduce communication using “subjective” metadata called data jackets (DJs). DJs are human-made metadata for existing or expected datasets, reflecting the subjective or potential interests of stakeholders in data use/reuse. Even if the owners of data may hesitate to open their data to the public, they can present DJs in the Innovators’ Marketplace on DJs (IMDJ), a platform of data-mediated value exchange where participants communicate to distill and choose ideas to combine, use, or reuse data to create businesses or collaborations. In this chapter, the authors present a revised framework of abductive reasoning for designing, collecting, and using DJs in IMDJ to support the process of multistakeholder requirement elicitation and satisfaction. In the examples, the authors discover that creativity in IMDJ has been ignited by and for the externalization and sharing of feature concepts corresponding to new variables, new predicates, new functions, or even new logical clauses, which can also be used as the performance dimension of data analysis criteria, that is, the features desired to be extracted from data. The effect of living labs, where participants’ sensitivity to the contexts in the open society, is therefore integrated here that extends both the target of and the context to use/reuse of datasets via shared feature concepts.
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Acknowledgments
This study has been supported by the JST COI-NEXT ClimCore, the Cabinet Secretariat of Japan, JSPS Kakenhi and 20 K20482 and 20 K14981.
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Ohsawa, Y., Hayashi, T., Kondo, S., Abe, A. (2022). Acquisition of Feature Concepts Via Open Abductive Communication with Data Jackets. In: Magnani, L. (eds) Handbook of Abductive Cognition. Springer, Cham. https://doi.org/10.1007/978-3-030-68436-5_73-1
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DOI: https://doi.org/10.1007/978-3-030-68436-5_73-1
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