metaadatgyjtés

Metadata extraction, or "metaadatgyjtés" in Hungarian, refers to the process of identifying, collecting, and cataloging metadata from various sources. Metadata itself is data that describes other data, providing context and information about its origin, creation, structure, and content. In essence, it's data about data.

The goal of metadata extraction is to make information more discoverable, manageable, and usable. This can involve extracting information such as author names, creation dates, file formats, keywords, subject classifications, and technical specifications. The process can be automated using specialized software and algorithms, or it can be performed manually by human annotators.

Common applications for metadata extraction include digital libraries, museum archives, content management systems, and scientific data repositories. By systematically extracting and organizing metadata, organizations can improve search capabilities, facilitate data sharing, ensure long-term preservation, and enhance the overall understanding of their digital assets. The accuracy and completeness of extracted metadata are crucial for its effectiveness. Different types of metadata exist, including descriptive, structural, and administrative metadata, each serving a distinct purpose in describing and managing information.