Information technology?Specification and STANDARDizatoin of data elements?Part 2:Classification for data elements
Some standard content:
GB/T 18391.2—2003/IS0/IEC 11179-2:2000 Foreword
GB/T18391 "Specification and standardization of information technology data elements" is divided into six parts: Part 1: Specification and standardization framework of data elements; Part 2: Classification of data elements; Part 3: Basic attributes of data elements; Part 4: Rules and guidelines for writing data definitions; Part 5: Naming and identification guidelines for data elements; Part 6: Registration of data elements.
This part is Part 2 of GB/T18391, which is equivalent to the international standard ISO/IEC11179-2:2000 Information technology data elements
Specification and standardization Part 2: Classification of data elements" (English version). For ISO/IFC11179-2:2000, this part also makes the following editorial changes: a) The foreword of 1S0/IFC11179-2:2000 is deleted. According to Chinese custom, the italicized parts in English are placed in quotation marks. h)
c) For the "National Information Standards Organization (NISO)" in the scope of 1S0/IEC11179-2:2000, since such an organization does not exist in my country before, it is deleted and the corresponding text processing is made. This part is proposed and coordinated by the China Standards Research Center. The drafting unit of this part: China Standards Research Center. The main drafters of this part: Xing Liqiang, Liu Zhiting, Li Xiaolin, Feng Wei 1
GB/T18391.22003/IS0/IEC11179-2:2000 Introduction
This part of GB/T18391 will provide a set of specific attributes for writing data elements. There are many attempts to design classification patterns and to establish and promote classification structures based on them. For the purpose of this section, keywords, thesauri, taxonomies and ontologies are all carefully considered classification patterns, and each has different discernment. When used with various aspects of data elements, these classification patterns will play a huge role. There are several purposes for classifying data elements: classification can help users find a single data element from a large number of data elements; it is convenient for data management and analysis of data elements; through inheritance, semantic content that cannot be fully expressed by other attributes (such as name and definition) can be expressed.
This section The functions of the classification schemes included in the classification are: - derive and form abstract data elements and application data elements; - ensure the inheritance of appropriate attributes and attribute values; derive names from the reference vocabulary
- eliminate ambiguity;
- identify superordinate, homological and subordinate data element concepts; - identify the relationship between data element concepts and data elements; - assist in the development of names and definitions for modular design. Each of the classification schemes mentioned above has its strengths and weaknesses and lays the foundation for establishing its specific role. For example: keywords are a shortcut to refer to potentially useful data elements; thesaurus is a more structured way to arrange descriptive terms in a comprehensible, In the structure of narrow and related classification classes; the taxonomy provides a classification structure that has the function of inheritance from general classification to the classification of the body: together with the relevant epistemology, the ontology will provide a rich and well-defined structure (such as a directed acyclic graph with multiple inheritance) that can convey the information required by software components, such as intelligent agents and mediators, which help to provide conditions for intelligent information services. The term "data element" is used to refer to "data element type", and the abbreviation is only for convenience. iiiKAoNiKAca-
1 Scope
GB/T 18391.2--2003/IS0/IEC 11179-2:2000 Information technology data element specification and standardization Part 2: Classification of data elements
This part of GB/T18391 provides operational procedures and methods for associating data with classification schemes. Several components of data elements lead to the need for classification. The components covered by GB/T18391 include object classes, characteristics, representations, value ranges, data element concepts, and data elements themselves. The steps and methods detailed in this part will enable registration agencies to better use the classification model: - analyze object classes, data element concepts and data elements; - compare object classes, characteristics, representations, data element concepts and data elements; reduce the diversity of data element concepts and data elements; - unambiguously identify, describe and define data element concepts and data elements; - assist in the analysis of data elements used to specify registration status; - solve the problems of synonyms and polysemy; ... - retrieve data element concepts and data elements from the data registry; - ... - identify the relationship between data element concepts and data elements; - support unique and unambiguous identification and reference of object classes, data element concepts and data elements in a form that is language neutral and applicable to information technology. GB/T18391 was also developed out of the need for standardized data design procedures to ensure that data elements can support electronic data exchange.
This standard defines a set of principles, methods and procedures for documenting the (minimum) requirements for documenting the association between the components of a data element and a classification schema. This includes the name, non-intelligent identifiers, definitions and other aspects of the classification schema and its content. These can be obtained through the use of attribute sets. This standard describes some specific attributes and the structure of their content. Users can extend the attribute set as necessary. Taxonomies or ontologies can carry additional information, for example, to provide a suggested set of qualifiers that can be used for object classes, characteristics or representation taxa in order to more fully qualify the taxonomy of specific data elements. This standard is based on and uses the basic attributes of ISO/IEC 18391 Part 3.
The examples contained in 3.4 show how selected data element components can be associated with the classification schema through the attributes described here. The use of one or more classification schemas is intended to provide a reasonable conceptual basis for the development of metadata that can improve semantic accuracy and design integrity.
This standard does not establish a specific classification schema as an example. Endorsing a specific classification method and/or a specific epistemology is not within the scope of this standard. They are developed by other standards committees and are suitable for a particular research field. The use of the functions of the classification model and its content is competitive. The standard language and (or) specific technical means and structures for classification that are being or have been developed by other standards committees can also be accommodated by this part. For example, the standards specifically used to develop thesaurus can be suitable for the development, expansion and maintenance of thesaurus in any compiled classification structure. These attributes can be added to the attributes described in this part according to the principle of extensibility, but they are not included here. As described and specified in GB/T 18391.6, each registration agency can classify the components of data elements according to the classification model, structure and content it deems appropriate. In the classification of documented data elements, the registration agency shall follow the principles, methods, procedures and attributes specified in this part.
2 Terms and definitions
The following terms and definitions apply to this part of GB/T 18391. 1
GB/T 18391.2---2003/ISO/IEC 11179-2:20002.1
Attribute
Characteristic of an object or entity.
Classification scheme The arrangement or division of objects based on their common characteristics, such as origin, composition, structure, application and function. 2.3
Classification scheme item The component of the content in the classification scheme.
Note: This can be a node in a classification method or ontology, a term in a thesaurus, etc.! 2.4
Classified component Any component of a data element that can be classified according to one or more classification schemes. Note: Components include object classes, characteristics, representation classes, data element concepts, domains and data elements. 2.5
Data
A formal representation of facts, concepts or instructions, suitable for manual or automatic communication, interpretation or processing (cited from GB/T5271.1)
Data element
A data unit whose definition, identification, representation and allowed values are described by a set of attributes. 2.7
Data element concept dataelement contept A concept that can be represented in the form of a data element and is independent of any specific representation. 2.8
Namename
The basic means by which people identify things and concepts. 3 Classification of data elements
The use of attributes should link each classification mode to the selected components of the data element. These components include object classes, characteristics, representations, data element concepts and the data element itself. As described in GB/T18391.1, the data element concept consists of the relationship between one or more object classes and a characteristic. After selecting a representation form (for example, a digital code) for a data element concept, a data element is formed. Each component can be associated with the following classification mode. 3.1 Keywords
Keywords are included in GB/T18391.3 as basic attributes. They can be applied to object classes, characteristics, representations, data elements and data element concepts. GB/T18391,3 describes keywords as follows: Name: Keyword
Definition: One or more meaningful words used for data element retrieval. Policy: Conditional selection.
Data type: string.
Remarks: This attribute can be used to record keywords associated with the data element being discussed. For purposes of this standard, the "reference vocabulary" - where each word in the vocabulary is defined as "a specific meaning" - can be recorded as a keyword in the same way. Although keywords are as unstable as classification patterns, they are useful and can be recorded as a "classification model" and used in this standard. 3.2 Thesaurus terms
GB/T 18391.2---2003/IS0/IEC 11179-2:2000 Thesaurus terms can be associated with data elements and data element concepts. This International Standard does not specify the structure of thesaurus terms. The attributes described in 3.4 may be used to capture thesaurus information associated with data elements or data element concepts. 3.3 Taxonomies and Ontologies Taxonomies
Taxonomies are hierarchical structures of concepts or taxonomies based on generalizations or specializations and mathematical concepts such as sets, subsets, and set memberships. An ontology is a network of taxonomies that aims to provide a model for some part of nature and consists of a theory of the categories of objects, their properties, and the possible relationships between objects in that part of nature. An ontology may include formal general rules for the interpretation of taxonomies and for their grammatical use. Taxonomies in taxonomies and ontologies may be associated with the following categorized data registry components: object classes, properties, representation classes, and data element concepts. This International Standard does not specify the structure of taxonomies or ontologies; however, the attributes listed in 3.4 are used to capture such structural information. 3.4 Taxonomy attributes
Records a The following attributes may be used for classification information of any component of a data element:classified component identifier,
classified component name,
classification schema type;
classification schema name;
—classification schema version;
classification schema item type;
—classification schema item value.
For example:
classified component identifier—identifier of the object class (e.g., CC0001)—classified component name—object class (e.g., fruit fly);·classification schema type—taxonomy ;
One-point award model name International Taxonomy Information System (Biological Taxonomy) classification model version = 2.1;
Classification model item type - taxonomic unit identifier: classification model item value - 5411
Classification model item type - taxonomic unit term; classification model item value - fruit fly.
Figure 1 depicts the relationship between classification attributes. Additional attributes may be used when necessary. 3
GB/T18391.2--2003/IS0/IEC11179-2:2000 CC0001
Identifier
An object feces (m, nest)
Classified group
Classified
Identifier
CS0001
3.5 Classification attribute description
Description
Classification schema
International classification system
System (biological)
3.5.1 Name: Classified component identifier
Three classification schemes
Management of the classification attributes of components and examples of their use - Classification unit terminology
Classification schema item
Definition: A linguistically neutral, unique and unambiguous identifier used to identify and reference a classified component. Constraints: Conditional selection.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: CC0001.
3.5.2 Name: Name of the Component Being Classified
Definition: The name of the data element component subject to classification, such as object class, characteristic, representation class, value range, data element concept and data element. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: object class.
3.5.3 Name: Classification Schema Type
Definition; The type of classification schema from which the classification item is extracted. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: taxonomy.
-iKAoNiKAca-
3.5.4 Name: Classification Schema Identifier
GB/T 18391.2—2003/ISO/IEC 11179-2:2000 Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified component Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: CS0001.
3.5.5 Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted. Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: Kenworthey Classification. 3.5.6 Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification items are extracted. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Example: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "Non-intelligent identifier", "Term", "Definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Note: Example: In a taxonomy, "5411" is an example of a "dumb identifier" type value, and "fruit fly" is an example of a "term" type value used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=As described in 1, a data element concept consists of a relationship between one or more object classes and a characteristic. After selecting a representation form (for example, a digital code) for a data element concept, a data element is formed. Each component can be associated with the classification scheme described below. 3.1 Keywords
Keywords are included in GB/T 18391.3 as basic attributes. They can be applied to object classes, characteristics, representations, data elements and data element concepts. GB/T 18391,3 describes keywords as follows: Name: Keyword
Definition: One or more meaningful words used for data element retrieval. Strategy: Conditional selection.
Data type: String.
Remarks: This attribute can be used to record keywords associated with the data element being discussed. For the purposes of this standard, the "reference vocabulary" is used. Here, each word in the vocabulary is defined as a specific meaning and can be recorded as a keyword in the same way. Although keywords are as unstable as classification patterns, they are useful and can be recorded as a "classification model" and used in this standard. 3.2 Thesaurus Terms GB/T 18391.2---2003/IS0/IEC 11179-2:2000 Thesaurus terms can be associated with data elements and data element concepts. This International Standard does not specify the structure of thesaurus terms. The attributes described in 3.4 may be used to capture thesaurus information associated with data elements or data element concepts. 3.3 Taxonomies and Ontologies Taxonomies
Taxonomies are hierarchical structures of concepts or taxonomies based on generalizations or specializations and mathematical concepts such as sets, subsets, and set memberships. An ontology is a network of taxonomies that aims to provide a model for some part of nature and consists of a theory of the categories of objects, their properties, and the possible relationships between objects in that part of nature. An ontology may include formal general rules for the interpretation of taxonomies and for their grammatical use. Taxonomies in taxonomies and ontologies may be associated with the following categorized data registry components: object classes, properties, representation classes, and data element concepts. This International Standard does not specify the structure of taxonomies or ontologies; however, the attributes listed in 3.4 are used to capture such structural information. 3.4 Taxonomy attributes
Records a The following attributes may be used for classification information of any component of a data element:classified component identifier,
classified component name,
classification schema type;
classification schema name;
—classification schema version;
classification schema item type;
—classification schema item value.
For example:
classified component identifier—identifier of the object class (e.g., CC0001)—classified component name—object class (e.g., fruit fly);·classification schema type—taxonomy ;
One-point award model name International Taxonomy Information System (Biological Taxonomy) classification model version = 2.1;
Classification model item type - taxonomic unit identifier: classification model item value - 5411
Classification model item type - taxonomic unit term; classification model item value - fruit fly.
Figure 1 depicts the relationship between classification attributes. Additional attributes may be used when necessary. 3
GB/T18391.2--2003/IS0/IEC11179-2:2000 CC0001
Identifier
An object feces (m, nest)
Classified group
Classified
Identifier
CS0001
3.5 Classification attribute description
Description
Classification schema
International classification system
System (biological)
3.5.1 Name: Classified component identifier
Three classification schemes
Management of the classification attributes of components and examples of their use - Classification unit terminology
Classification schema item
Definition: A linguistically neutral, unique and unambiguous identifier used to identify and reference a classified component. Constraints: Conditional selection.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: CC0001.
3.5.2 Name: Name of the Component Being Classified
Definition: The name of the data element component subject to classification, such as object class, characteristic, representation class, value range, data element concept and data element. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: object class.
3.5.3 Name: Classification Schema Type
Definition; The type of classification schema from which the classification item is extracted. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: taxonomy.
-iKAoNiKAca-
3.5.4 Name: Classification Schema Identifier
GB/T 18391.2—2003/ISO/IEC 11179-2:2000 Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified component Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: CS0001.
3.5.5 Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted. Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: Kenworthey Classification. 3.5.6 Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification items are extracted. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Example: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "Non-intelligent identifier", "Term", "Definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Note: Example: In a taxonomy, "5411" is an example of a "dumb identifier" type value, and "fruit fly" is an example of a "term" type value used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=As described in 1, a data element concept consists of a relationship between one or more object classes and a characteristic. After selecting a representation form (for example, a digital code) for a data element concept, a data element is formed. Each component can be associated with the classification scheme described below. 3.1 Keywords
Keywords are included in GB/T 18391.3 as basic attributes. They can be applied to object classes, characteristics, representations, data elements and data element concepts. GB/T 18391,3 describes keywords as follows: Name: Keyword
Definition: One or more meaningful words used for data element retrieval. Strategy: Conditional selection.
Data type: String.
Remarks: This attribute can be used to record keywords associated with the data element being discussed. For the purposes of this standard, the "reference vocabulary" is used. Here, each word in the vocabulary is defined as a specific meaning and can be recorded as a keyword in the same way. Although keywords are as unstable as classification patterns, they are useful and can be recorded as a "classification model" and used in this standard. 3.2 Thesaurus Terms GB/T 18391.2---2003/IS0/IEC 11179-2:2000 Thesaurus terms can be associated with data elements and data element concepts. This International Standard does not specify the structure of thesaurus terms. The attributes described in 3.4 may be used to capture thesaurus information associated with data elements or data element concepts. 3.3 Taxonomies and Ontologies Taxonomies
Taxonomies are hierarchical structures of concepts or taxonomies based on generalizations or specializations and mathematical concepts such as sets, subsets, and set memberships. An ontology is a network of taxonomies that aims to provide a model for some part of nature and consists of a theory of the categories of objects, their properties, and the possible relationships between objects in that part of nature. An ontology may include formal general rules for the interpretation of taxonomies and for their grammatical use. Taxonomies in taxonomies and ontologies may be associated with the following categorized data registry components: object classes, properties, representation classes, and data element concepts. This International Standard does not specify the structure of taxonomies or ontologies; however, the attributes listed in 3.4 are used to capture such structural information. 3.4 Taxonomy attributes
Records a The following attributes may be used for classification information of any component of a data element:classified component identifier,
classified component name,
classification schema type;
classification schema name;
—classification schema version;
classification schema item type;
—classification schema item value.
For example:
classified component identifier—identifier of the object class (e.g., CC0001)—classified component name—object class (e.g., fruit fly);·classification schema type—taxonomy ;
One-point award model name International Taxonomy Information System (Biological Taxonomy) classification model version = 2.1;
Classification model item type - taxonomic unit identifier: classification model item value - 5411
Classification model item type - taxonomic unit term; classification model item value - fruit fly.
Figure 1 depicts the relationship between classification attributes. Additional attributes may be used when necessary. 3
GB/T18391.2--2003/IS0/IEC11179-2:2000 CC0001
Identifier
An object feces (m, nest)
Classified group
Classified
Identifier
CS0001
3.5 Classification attribute description
Description
Classification schema
International classification system
System (biological)
3.5.1 Name: Classified component identifier
Three classification schemes
Management of the classification attributes of components and examples of their use - Classification unit terminology
Classification schema item
Definition: A linguistically neutral, unique and unambiguous identifier used to identify and reference a classified component. Constraints: Conditional selection.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: CC0001.
3.5.2 Name: Name of the Component Being Classified
Definition: The name of the data element component subject to classification, such as object class, characteristic, representation class, value range, data element concept and data element. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: object class.
3.5.3 Name: Classification Schema Type
Definition; The type of classification schema from which the classification item is extracted. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: taxonomy.
-iKAoNiKAca-
3.5.4 Name: Classification Schema Identifier
GB/T 18391.2—2003/ISO/IEC 11179-2:2000 Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified component Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: CS0001.
3.5.5 Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted. Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: Kenworthey Classification. 3.5.6 Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification items are extracted. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Example: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "Non-intelligent identifier", "Term", "Definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Note: Example: In a taxonomy, "5411" is an example of a "dumb identifier" type value, and "fruit fly" is an example of a "term" type value used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=3 The keywords are described as follows: Name: Keyword Definition: One or more meaningful words used for data element retrieval. Policy: Conditional selection. Data type: String. Remarks: This attribute can be used to record keywords associated with the data element being discussed. For the purposes of this standard, the "reference vocabulary" - here, each word in the vocabulary is defined as "a specific meaning that can be recorded as a keyword in the same way. Although keywords are as unstable as classification patterns, they are very useful and can be recorded as a "classification model" and used in this standard. 3.2 Thesaurus Terms GB/T 18391.2---2003/IS0/IEC 11179-2:2000 Thesaurus terms can be associated with data elements and data element concepts. This International Standard does not specify the structure of thesaurus terms. The attributes described in 3.4 may be used to capture thesaurus information associated with data elements or data element concepts. 3.3 Taxonomies and Ontologies Taxonomies
Taxonomies are hierarchical structures of concepts or taxonomies based on generalizations or specializations and mathematical concepts such as sets, subsets, and set memberships. An ontology is a network of taxonomies that aims to provide a model for some part of nature and consists of a theory of the categories of objects, their properties, and the possible relationships between objects in that part of nature. An ontology may include formal general rules for the interpretation of taxonomies and for their grammatical use. Taxonomies in taxonomies and ontologies may be associated with the following categorized data registry components: object classes, properties, representation classes, and data element concepts. This International Standard does not specify the structure of taxonomies or ontologies; however, the attributes listed in 3.4 are used to capture such structural information. 3.4 Taxonomy attributes
Records a The following attributes may be used for classification information of any component of a data element:classified component identifier,
classified component name,
classification schema type;
classification schema name;
—classification schema version;
classification schema item type;
—classification schema item value.
For example:
classified component identifier—identifier of the object class (e.g., CC0001)—classified component name—object class (e.g., fruit fly);·classification schema type—taxonomy ;
One-point award model name International Taxonomy Information System (Biological Taxonomy) classification model version = 2.1;
Classification model item type - taxonomic unit identifier: classification model item value - 5411
Classification model item type - taxonomic unit term; classification model item value - fruit fly.
Figure 1 depicts the relationship between classification attributes. Additional attributes may be used when necessary. 3
GB/T18391.2--2003/IS0/IEC11179-2:2000 CC0001
Identifier
An object feces (m, nest)
Classified group
Classified
Identifier
CS0001
3.5 Classification attribute description
Description
Classification schema
International classification system
System (biological)
3.5.1 Name: Classified component identifier
Three classification schemes
Management of the classification attributes of components and examples of their use - Classification unit terminology
Classification schema item
Definition: A linguistically neutral, unique and unambiguous identifier used to identify and reference a classified component. Constraints: Conditional selection.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: CC0001.
3.5.2 Name: Name of the Component Being Classified
Definition: The name of the data element component subject to classification, such as object class, characteristic, representation class, value range, data element concept and data element. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: object class.
3.5.3 Name: Classification Schema Type
Definition; The type of classification schema from which the classification item is extracted. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: taxonomy.
-iKAoNiKAca-
3.5.4 Name: Classification Schema Identifier
GB/T 18391.2—2003/ISO/IEC 11179-2:2000 Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified component Constraint: Conditional Optional. bzxZ.net
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: CS0001.
3.5.5 Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted. Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: Kenworthey Classification. 3.5.6 Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification items are extracted. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Example: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "Non-intelligent identifier", "Term", "Definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Note: Example: In a taxonomy, "5411" is an example of a "dumb identifier" type value, and "fruit fly" is an example of a "term" type value used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=3 The keywords are described as follows: Name: Keyword Definition: One or more meaningful words used for data element retrieval. Policy: Conditional selection. Data type: String. Remarks: This attribute can be used to record keywords associated with the data element being discussed. For the purposes of this standard, the "reference vocabulary" - here, each word in the vocabulary is defined as "a specific meaning that can be recorded as a keyword in the same way. Although keywords are as unstable as classification patterns, they are very useful and can be recorded as a "classification model" and used in this standard. 3.2 Thesaurus Terms GB/T 18391.2---2003/IS0/IEC 11179-2:2000 Thesaurus terms can be associated with data elements and data element concepts. This International Standard does not specify the structure of thesaurus terms. The attributes described in 3.4 may be used to capture thesaurus information associated with data elements or data element concepts. 3.3 Taxonomies and Ontologies Taxonomies
Taxonomies are hierarchical structures of concepts or taxonomies based on generalizations or specializations and mathematical concepts such as sets, subsets, and set memberships. An ontology is a network of taxonomies that aims to provide a model for some part of nature and consists of a theory of the categories of objects, their properties, and the possible relationships between objects in that part of nature. An ontology may include formal general rules for the interpretation of taxonomies and for their grammatical use. Taxonomies in taxonomies and ontologies may be associated with the following categorized data registry components: object classes, properties, representation classes, and data element concepts. This International Standard does not specify the structure of taxonomies or ontologies; however, the attributes listed in 3.4 are used to capture such structural information. 3.4 Taxonomy attributes
Records a The following attributes may be used for classification information of any component of a data element:classified component identifier,
classified component name,
classification schema type;
classification schema name;
—classification schema version;
classification schema item type;
—classification schema item value.
For example:
classified component identifier—identifier of the object class (e.g., CC0001)—classified component name—object class (e.g., fruit fly);·classification schema type—taxonomy ;
One-point award model name International Taxonomy Information System (Biological Taxonomy) classification model version = 2.1;
Classification model item type - taxonomic unit identifier: classification model item value - 5411
Classification model item type - taxonomic unit term; classification model item value - fruit fly.
Figure 1 depicts the relationship between classification attributes. Additional attributes may be used when necessary. 3
GB/T18391.2--2003/IS0/IEC11179-2:2000 CC0001
Identifier
An object feces (m, nest)
Classified group
Classified
Identifier
CS0001
3.5 Classification attribute description
Description
Classification schema
International classification system
System (biological)
3.5.1 Name: Classified component identifier
Three classification schemes
Management of the classification attributes of components and examples of their use - Classification unit terminology
Classification schema item
Definition: A linguistically neutral, unique and unambiguous identifier used to identify and reference a classified component. Constraints: Conditional selection.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: CC0001.
3.5.2 Name: Name of the Component Being Classified
Definition: The name of the data element component subject to classification, such as object class, characteristic, representation class, value range, data element concept and data element. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: object class.
3.5.3 Name: Classification Schema Type
Definition; The type of classification schema from which the classification item is extracted. Constraint: Conditional option.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: taxonomy.
-iKAoNiKAca-
3.5.4 Name: Classification Schema Identifier
GB/T 18391.2—2003/ISO/IEC 11179-2:2000 Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified component Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: CS0001.
3.5.5 Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted. Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: Kenworthey Classification. 3.5.6 Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification items are extracted. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Example: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "Non-intelligent identifier", "Term", "Definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Note: Example: In a taxonomy, "5411" is an example of a "dumb identifier" type value, and "fruit fly" is an example of a "term" type value used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=4 will be used to capture this type of structural information. 3.4 Taxonomic attributes
The following attributes may be used to record the taxonomic information of any component of a data element: taxonomic component identifier,
taxonomic component name,
taxonomic schema type;
taxonomic schema name;
— taxonomic schema version;
taxonomic schema item type;
— taxonomic schema item value.
For example:
taxonomic component identifier object class identifier (e.g., CC0001)—taxonomic component name—object class (e.g., Drosophila);
— taxonomic schema type—taxonomy;
— taxonomic schema name International Taxonomy Information System (ISTI) taxonomic schema version = 2.1;
taxonomic schema item type—taxon identifier: taxonomic schema item value—5411
taxonomic schema item type—taxon term; taxonomic schema item value—Drosophila.
Figure 1 depicts the relationship between classification attributes. Additional attributes may be used when necessary. 3
GB/T18391.2--2003/IS0/IEC11179-2:2000 CC0001
Identifier
One object feces (m, nest)
Classified group
Classified
Identifier
CS0001
3.5 Classification attribute description
Description
Classification model
International classification system (biological)
3.5.1 Name: Classified component identifier
Three classification methods
Manage the classification attributes of the component and their usage examples-Classification unit term
Classification model item
Definition: A linguistically neutral, unique and unambiguous identifier used to identify and reference a classified component. Constraints: Conditional selection.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: CC0001.
3.5.2 Name: Name of the component to be classified
Definition: The name of the data element component that is subject to the classification, such as object class, characteristic, representation class, value range, data element concept and data element. Constraint: Optional condition.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: object class.
3.5.3 Name: Classification schema type
Definition; The type of classification schema from which the classification item is extracted. Constraint: Optional condition.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: taxonomy.
-iKAoNiKAca-
3.5.4 Name: Classification Schema Identifier
GB/T 18391.2—2003/ISO/IEC 11179-2:2000 Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified component Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: CS0001.
3.5.5 Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted. Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: Kenworthey Classification. 3.5.6 Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification items are extracted. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Example: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "Non-intelligent identifier", "Term", "Definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Note: Example: In a taxonomy, "5411" is an example of a "dumb identifier" type value, and "fruit fly" is an example of a "term" type value used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=4 will be used to capture this type of structural information. 3.4 Taxonomic attributes
The following attributes may be used to record the taxonomic information of any component of a data element: taxonomic component identifier,
taxonomic component name,
taxonomic schema type;
taxonomic schema name;
— taxonomic schema version;
taxonomic schema item type;
— taxonomic schema item value.
For example:
taxonomic component identifier object class identifier (e.g., CC0001)—taxonomic component name—object class (e.g., Drosophila);
— taxonomic schema type—taxonomy;
— taxonomic schema name International Taxonomy Information System (ISTI) taxonomic schema version = 2.1;
taxonomic schema item type—taxon identifier:
taxonomic schema item value—5411
taxonomic schema item type—taxon term; taxonomic schema item value—Drosophila.
Figure 1 depicts the relationship between classification attributes. Additional attributes may be used when necessary. 3
GB/T18391.2--2003/IS0/IEC11179-2:2000 CC0001
Identifier
One object feces (m, nest)
Classified group
Classified
Identifier
CS0001
3.5 Classification attribute description
Description
Classification model
International classification system (biological)
3.5.1 Name: Classified component identifier
Three classification methods
Manage the classification attributes of the component and their usage examples-Classification unit term
Classification model item
Definition: A linguistically neutral, unique and unambiguous identifier used to identify and reference a classified component. Constraints: Conditional selection.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: CC0001.
3.5.2 Name: Name of the component to be classified
Definition: The name of the data element component that is subject to the classification, such as object class, characteristic, representation class, value range, data element concept and data element. Constraint: Optional condition.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: object class.
3.5.3 Name: Classification schema type
Definition; The type of classification schema from which the classification item is extracted. Constraint: Optional condition.
Condition: Required if the classification item is to be recorded. Data type: string.
Remarks: Example: taxonomy.
-iKAoNiKAca-
3.5.4 Name: Classification Schema Identifier
GB/T 18391.2—2003/ISO/IEC 11179-2:2000 Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified component Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: CS0001.
3.5.5 Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted. Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks Example: Kenworthey Classification. 3.5.6 Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification items are extracted. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Example: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "Non-intelligent identifier", "Term", "Definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Note: Example: In a taxonomy, "5411" is an example of a "dumb identifier" type value, and "fruit fly" is an example of a "term" type value used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=2000Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified componentConstraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
RemarksExample: CS0001.
3.5.5Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted.Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
RemarksExample: "Version 2.1".
3.5.6Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification item is extracted.Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
RemarksExample: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of the "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "dumb identifier", "term", "definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item's name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "5411" is an example of a value of type "dumb identifier" in a taxonomy, and "fruit fly" is an example of a value of type "term" used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=2000Definition: A language-neutral, unique and unambiguous identifier used to identify and reference a classified componentConstraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
RemarksExample: CS0001.
3.5.5Name: Classification Schema Name
Definition: The name of the specific classification schema from which the classification item is extracted.Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
RemarksExample: "Version 2.1".
3.5.6Name: Classification Schema Version
Definition: The version of the specific classification schema from which the classification item is extracted.Constraint: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
RemarksExample: "Version 2.1".
3.5.7 Name: Classification Schema Item Type
Definition: The type of the "Classification Schema Item Value" in 3.5.8. Constraints: Conditional Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "dumb identifier", "term", "definition". 3.5.8 Name: Classification Schema Item Value
Definition: An instance of a classification schema item's name, identifier, definition, etc. Constraints: Optional.
Condition: Required if the classification item is to be recorded. Data Type: String.
Remarks: Examples: "5411" is an example of a value of type "dumb identifier" in a taxonomy, and "fruit fly" is an example of a value of type "term" used to identify a node in the taxonomy. 5
GB/T 18391.2---2003/ISO/IEC 11179-2:2000 References
GB/T5271.4 Information technology
Vocabulary Part 4: Organization of data (eqvISO/IEC2382-4) Part 1: Specification and standardization framework for data elements GB/T18391.1—2002
2 Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-1:1999) GB/T 18391.3-2001
GB/T18391.6-—2001
Information technology Specification and standardization framework for data elements (idt ISO/IEC 11179-3:1994) Part 3: Basic attributes of data elements
Information technology - Specification and standardization of data elements - Part 6: Registration of data elements (idtISO/IEC 11179-6:1997)
-ii KAoNi KAca=
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