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- Created 2012-03-13
(sometimes referred to as the
smart data continuum
) is a series of increasingly precise or rather
expressive definitions for
s, especially for machine use.
At the low end of the spectrum is a simple binding of a single word or phrase and its definition. At the high end is a full
that specifies relationships between data elements using precise
s for relationships and properties.
comes increased precision and the ability to use tools to automatically integrate systems but also increased cost to build and maintain a
Some steps in the semantic spectrum include the following:
: A simple list of terms and their definitions. A glossary focuses on creating a complete list of the terminology of domain-specific terms and acronyms. It is useful for creating clear and unambiguous definitions for terms and because it can be created with simple word processing tools, few technical tools are necessary.
: A simple list of terms, definitions and naming conventions. A controlled vocabulary frequently has some type of oversight process associated with adding or removing data element definitions to ensure consistency. Terms are often defined in relationship to each other.
: Terms, definitions, naming conventions and one or more representations of the data elements in a computer system. Data dictionaries often define data types, validation checks such as enumerated values and the formal definitions of each of the enumerated values.
: Terms, definitions, naming conventions, representations and one or more representations of the data elements as well as the beginning of specification of the relationships between data elements including abstractions and containers.
5. taxonomy: A complete data model in an inheritance hierarchy where all data elements inherit their behaviors from a single "super data element". The difference between a data model and a formal taxonomy is the arrangement of data elements into a formal tree structure where each element in the tree is a formally defined concept with associated properties.
: A complete, machine-readable specification of a conceptualization using
s (and then IRIs) for all data elements, properties and relationship types. The
standard language for representing ontologies is the
Web Ontology Language
(OWL). Ontologies frequently contain formal business rules formed in discrete logic statements that relate data elements to each another.
from Wikipedia (last updated: 04 December), licensed under
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