Harmonization Approaches for Unifying Heterogeneous Scientific Data within Engineering Informatics
Keywords:
Data harmonization, engineering informatics, semantic integration, schema mapping, ontologies, data interoperability, metadata standardization, scientific data unification, heterogeneous datasets, knowledge representationAbstract
The exponential growth of scientific data in engineering informatics has led to increased heterogeneity in terms of data models, formats, semantic representations, and computational frameworks. Harmonization of such disparate datasets is vital to enable data interoperability, seamless integration, and advanced analytics. This paper explores contemporary harmonization approaches that address data heterogeneity at syntactic, structural, and semantic levels. Drawing upon interdisciplinary insights, it presents a conceptual framework for harmonizing heterogeneous scientific data through metadata standardization, ontological alignment, and schema mapping. Flowcharts and summary tables, leading to informed discussions on the future directions in engineering informatics.
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