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Structural metadata – metadata about containers of data and indicates how compound objects are put together, for example, how pages are ordered to form chapters. It describes the types, versions, relationships, and other characteristics of digital materials.
A good example of metadata is the cataloging system found in libraries, which records for example the author, title, subject, and location on the shelf of a resource. Another is software system knowledge extraction of software objects such as data flows, control flows, call maps, architectures, business rules, business terms, and database schemas.
A type of structural and metadata encoding system using an XML Document Type Definition (DTD) was the result of these efforts. The MoAII DTD was limited in that it did not provide flexibility in which metadata terms could be used for the elements in the descriptive, administrative, and structural metadata portions of the object. [5]
Emanuel Goldberg submits patents for his "Statistical Machine", a document search engine that used photoelectric cells and pattern recognition to search the metadata on rolls of microfilmed documents. 1940s–1950s late 1940s: The US military confronted problems of indexing and retrieval of wartime scientific research documents captured from ...
Ecological Metadata Language (EML) [1] is a metadata standard developed by and for the ecology discipline. It is based on prior work done by the Ecological Society of America and others, [2] including the Knowledge Network for Biocomplexity. [3] EML is a set of XML schema documents that allow for the structural expression of metadata. It was ...
SemOpenAlex extends the capabilities of OpenAlex by providing semantic representations of scholarly metadata. It integrates knowledge graph-based features to enhance the discovery of research trends, collaborations, and literature interconnections across all domains. Free OpenAlex Project [141] Shibata: Multidisciplinary
The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling. The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income".
Metadata is often said to be "data about data", but this is misleading. Data profiles are an example of actual "data about data". Metadata adds one layer of abstraction to this definition– it is data about the structures that contain data. Metadata may describe the structure of any data, of any subject, stored in any format.