A terminology model [1] is a refinement of a concept system. [2] Within a terminology model the concepts ( object types) of a specific problem or subject area are defined by subject-matter experts in terms of concept (object type) definitions and definitions of subordinated concepts or characteristics ( properties). Besides object types, the terminology model allows defining hierarchical classifications, definitions for object type and property behavior and definition of casual relations.
The terminology model is a means for subject-matter experts to express their knowledge about the subject in subject-specific terms. Since the terminology model is structured rather similar to an object-oriented database schema, is can be transformed without loss of information into an object-oriented database schema. Thus, the terminology model is a method for problem analysis on the one side and a mean of defining database schema on the other side.
Several terminology models have been developed and published in the field of statistics:
- Terminology model for classifications [3]
- Terminology model for statistical variables [4]
- Reference model for statistical metadata [5]
See also
References
- ^ Karge, R. (April 2005). A terminology model approach for defining and managing statistical metadata (Power Point). Eighth Open Forum on Metadata Registries. Berlin. Archived (PDF) from the original on May 10, 2023.
- ^ "ISO 704:2009 - Terminology work -- Principles and methods". ISO. 2009-11-01. Archived from the original on Aug 9, 2016.
- ^ "Neuchâtel Terminology Model PART I: Classification database object types and their attributes (Version 2.1)" (PDF). 19 August 2004. Archived from the original (PDF) on Mar 3, 2016.
- ^ "Neuchâtel Terminology Model PART II: Variables and related concepts (Version 1.0)" (PDF). December 2006. Archived from the original (PDF) on Jan 19, 2022.
- ^ "Reference Model". METANET. Archived from the original on 2012-03-10. Retrieved 2010-08-25.
A terminology model [1] is a refinement of a concept system. [2] Within a terminology model the concepts ( object types) of a specific problem or subject area are defined by subject-matter experts in terms of concept (object type) definitions and definitions of subordinated concepts or characteristics ( properties). Besides object types, the terminology model allows defining hierarchical classifications, definitions for object type and property behavior and definition of casual relations.
The terminology model is a means for subject-matter experts to express their knowledge about the subject in subject-specific terms. Since the terminology model is structured rather similar to an object-oriented database schema, is can be transformed without loss of information into an object-oriented database schema. Thus, the terminology model is a method for problem analysis on the one side and a mean of defining database schema on the other side.
Several terminology models have been developed and published in the field of statistics:
- Terminology model for classifications [3]
- Terminology model for statistical variables [4]
- Reference model for statistical metadata [5]
See also
References
- ^ Karge, R. (April 2005). A terminology model approach for defining and managing statistical metadata (Power Point). Eighth Open Forum on Metadata Registries. Berlin. Archived (PDF) from the original on May 10, 2023.
- ^ "ISO 704:2009 - Terminology work -- Principles and methods". ISO. 2009-11-01. Archived from the original on Aug 9, 2016.
- ^ "Neuchâtel Terminology Model PART I: Classification database object types and their attributes (Version 2.1)" (PDF). 19 August 2004. Archived from the original (PDF) on Mar 3, 2016.
- ^ "Neuchâtel Terminology Model PART II: Variables and related concepts (Version 1.0)" (PDF). December 2006. Archived from the original (PDF) on Jan 19, 2022.
- ^ "Reference Model". METANET. Archived from the original on 2012-03-10. Retrieved 2010-08-25.