Document Type : Review Paper
Authors
1 Ph.D. candidate,, Department of Information Science,, Faculty of Education and Psychology, Alzahra University,, Tehran, Iran.
2 Associate Professor, Department of Information Science, Faculty of Education and Psychology, Alzahra University, Tehran, Iran.
3 Associate Professor Knowledge and Information Science Department, Allameh Tabataba'i University
Abstract
Objective: Today, meta-models are used to organize and manage metadata, therefore, the aim of this review was to examine the research related to the design techniques of meta-models.
Methodology: This study was conducted based on a systematic review method. In this review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was employed to ensure a focused review and to present coherent findings. Relevant research was identified through databases and citation sources such as Web of Science, Scopus, Emerald, Taylor & Francis, and Science Direct, and by applying inclusion and exclusion criteria, 22 scholarly outputs were selected for the systematic review.
Findings: The findings of the review indicated that metamodel refers to metadata about metadata, providing a higher-level framework that describes the structure, relationships, and contextual purpose of metadata elements in various systems. It essentially aids in the standardization, organization, and interpretation of metadata from multiple sources, facilitating and expediting the integrity, interoperability, and usability of data. Metamodel elements within systems serve as key components for information management and organization. These elements include characteristics related to the quality of metadata, like accuracy, completeness, and currency of the metadata. Meta-models aim to enhance the capabilities of data management and retrieval in complex and heterogeneous systems, incorporating flexible and practical features into their structures.
Conclusion: Meta-metadata models,, play a crucial role in optimizing information management and retrieval processes, especially in complex and diverse environments. Implementing these approaches can lead to the development of effective and efficient systems across various fields.
Keywords
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