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Guide metadata helps humans find specific items and is usually expressed as a set of keywords in a natural language. According to Ralph Kimball, metadata can be divided into three categories: technical metadata (or internal metadata), business metadata (or external metadata), and process metadata.
In metadata, metadata discovery (also metadata harvesting) is the process of using automated tools to discover the semantics of a data element in data sets. This process usually ends with a set of mappings between the data source elements and a centralized metadata registry. Metadata discovery is also known as metadata scanning.
A metasearch engine (or search aggregator) is an online information retrieval tool that uses the data of a web search engine to produce its own results. [1] [2] ...
A metadata standard is a requirement which is intended to establish a common understanding of the meaning or semantics of the data, to ensure correct and proper use ...
Metadata management goes by the end-to-end process and governance framework for creating, controlling, enhancing, attributing, defining and managing a metadata schema, model or other structured aggregation system, either independently or within a repository and the associated supporting processes (often to enable the management of content).
Metadatabase is a database model for (1) metadata management, (2) global query of independent databases, and (3) distributed data processing.
A hashtag is a kind of metadata tag marked by the prefix #, sometimes known as a "hash" symbol. This form of tagging is used on microblogging and social networking services such as Twitter , Facebook , Google+ , VK and Instagram .
Mercury (metadata search system) Meta Data Services; Meta noise; Metadata management; Metadata discovery; Metadata registry; Metadata removal tool; Metadata repository; Metadata Working Group; Metatable; Models of collaborative tagging; MPEG-21