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Informative Article | Data & Knowledge Engineering | India | Volume 10 Issue 10, October 2021 | Rating: 4.6 / 10
Semantic Harmony: A Framework for Resolving Semantic Heterogeneity Among Data Sources
Sneha Dingre
Abstract: Semantic heterogeneity remains a persistent challenge in data integration efforts, hindering interoperability and knowledge discovery across disparate data sources. In response to this challenge, this research paper presents a novel framework, called Semantic Harmony, designed to address semantic heterogeneity systematically. The framework encompasses semantic mapping, data profiling, normalization, schema integration, semantic mediation, metadata management, and governance practices, providing a holistic approach to achieving semantic coherence among heterogeneous data sources. Through a detailed exploration of each component and practical examples, this paper demonstrates the effectiveness and applicability of the Semantic Harmony framework in facilitating seamless data integration and interoperability.
Keywords: Semantic heterogeneity, Data integration, Semantic mapping, Schema integration, Metadata management, Semantic mediation, Governance
Edition: Volume 10 Issue 10, October 2021,
Pages: 1600 - 1602