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Title:
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A PROCESS FLOW COMPOSABLE OPENDATA MASHUP TOOL AND ITS EFFECTS EVALUATION |
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Author(s):
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Satoshi Yashiro, Norihisa Komoda and Takenao Ohkawa |
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ISBN:
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978-989-8704-53-5 |
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Editors:
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Paula Miranda and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Open Data, Mashup, Data Processing, Data Process Flow, Composable |
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Type:
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Full |
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First Page:
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23 |
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Last Page:
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30 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Open data is a data that is provided by public sectors or social infrastructure companies like transportation service providers. Recently, many people are trying to utilize open data in various applications. Even if a user is not a specialist who have enough data science skills, the user may use common data processing software such as a spread sheet software or a text editor to handle open data. Such common software requires many hours to handle the data, whereas does not require higher skills. In this paper, an open data mashup tool which can reduce hours to handle open data in utilizing the data is proposed. This tool supports a user to design data process flow easily by providing a user interface with composable processing unit components. Also, its effect in some specific cases is clarified. |
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