Donggi Kim, Byunggi Choi, Jaeho Lee

KIPS Transactions on Software and Data Engineering, Vol. 11, No. 11, pp. 479-488, Nov. 2022
https://doi.org/10.3745/KTSDE.2022.11.11.479,   PDF Download:
Keywords: Intelligence System, Machine Learning, Data Collection, Automation, Reusability
Abstract

In recent years, with the rapid development of machine learning technology, research utilizing machine learning has been actively conducted in fields such as cognition, reasoning and judgment, and action among various technologies constituting intelligent systems. In order to utilize this machine learning, it is indispensable to collect data for learning. However, the types of data generated vary according to the environment in which the data is generated, and the types and forms of data required are different depending on the learning model to be used for machine learning. Due to this, there is a problem that the existing data collection method cannot be reused in a new environment, and a specialized data collection module must be developed each time. In this paper, we propose a specification-based methology for data collection in artificial intelligence system to solve the above problems, ensure the reusability of the data collection method according to the data collection environment, and automate the implementation of the data collection function.

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