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- W4380482248 abstract "In this chapter, we address applying qualitative meta-synthesis and conducting qualitative modeling to extract knowledge from data and information during the problem-solving process. Two situations are considered. One situation refers to context with a small-scale size of available texts. Under this context, we illustrate the application of two technologies, CorMap and iView, for qualitative meta-synthesis for idea or assumption generation for further verification and validation. Another situation refers to context with open and complex systems problems, such as various societal problems highlighted and discussed in the online media. We describe qualitative modeling by outlining the complex problem-evolving process and provide two approaches for storyline generating. For both situations, visualized perspective toward the concerned problems reflected by the texts is emphasized." @default.
- W4380482248 created "2023-06-14" @default.
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- W4380482248 date "2023-01-01" @default.
- W4380482248 modified "2023-09-23" @default.
- W4380482248 title "Qualitative Modeling to Extract Knowledge for Problem Structuring" @default.
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- W4380482248 doi "https://doi.org/10.1007/978-981-99-1075-5_5" @default.
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