Search results
Results from the WOW.Com Content Network
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.
Business metadata is important because it can greatly facilitate the usefulness of the data to business people. A simple example of business metadata is a glossary entry. Hover functionality in an application or web form can enable a glossary definition to be shown when cursor is on a field or term.
Descriptive metadata is typically used for discovery and identification, as information to search and locate an object, such as title, authors, subjects, keywords, and publisher. Structural metadata describes how the components of an object are organized. An example of structural metadata would be how pages are ordered to form chapters of a book.
"The Marketing Taxonomy Assessment with Claravine reflects the results of our shared commitment, and the tool will provide brands with the insights they need to establish strong data standards and drive marketing success." The Marketing Taxonomy Assessment provides clients with a range of solutions, including: Taxonomy Review & Stakeholder ...
A schema is a script that has the potential to lack the specificity of the sequence of events. A schema being a script is when there is an ordering to it that requires action, an example of that being the process of starting up a car (get in, put on your seatbelt, turn the car on, turn off the emergency brake, etc.).
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 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).
(Reuters) -Meta Platforms is establishing a new division within its Reality Labs unit to develop AI-powered humanoid robots that can assist with physical tasks, according to an internal company ...