The Metadata Management for Semantic Ontology in Big Data
Farhana Kausar, Devi Kannan, T. Mamatha, P. Aishwarya · 2023
The primary purpose of semantic metadata is to define the context, substance, and structure of the data, as well as to manage the processes and history of the data. Access to metadata management must be organized through the assignment of access permissions and adherence to particular security rules in order to safeguard data from loss, unlawful deletion, saving, or destruction. Because big data semantics are frequently expressed in unstructured natural language (NL) descriptions that are part of metadata, analyzing such data needs significantly more effort than processing structured data. It piques interest in research projects aimed at structuring semantic meta-descriptions using existing metadata standards. Metadata is information that enhances the utility of data. This description describes the extent of metadata; however, it is far too broad to be useful in practice. For example, it describes the role of metadata in big data but does not specify the requirements for how they should be represented in practice. Metadata is information about digital and non-digital items that is designed for both computer processing and human interpretation. Metadata is defined as structured data containing the properties of entities for the purposes of identifying, retrieving, evaluating, and managing them. Metadata is a type of structured data that describes the properties of a system. These qualities of metadata have an impact on how they are represented; in other words, metadata serves as the foundation for data architecture, which can be formal (computer-oriented) or informal (user-oriented).