Classification scheme (information science): Difference between revisions

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{{Short description|Type of science}}

In [[metadata]] a '''classification scheme''' is a hierarchical arrangement of kinds of things (classes) or groups of kinds of things. Typically it is accompanied by descriptive information of the classes or groups. A classification scheme is intended to be used for an arrangement or division of individual objects into the classes or groups. The classes or groups are based on characteristics which the objects (members) have in common. In [[linguistics]], the subordinate concept is called a hyponym of its superordinate. Typically a hyponym is 'a kind of' its superordinate (Keith Allan, Natural language Semantics<ref>Keith Allan (2002, p. 260), Natural language Semantics, Blackwell Publishers Ltd, Oxford, ISBN 0-631-19296-4.</ref>).

{{expert needed|computer science|reason=boundaries of subject with [[information science]] and relative to [[semantic spectrum]] are unclear.|date=October 2022}}

In [[information science]] and [[ontology (information science)|ontology]], a '''classification scheme''' is an arrangement of classes or groups of classes. The activity of developing the schemes bears similarity to [[taxonomy]], but with perhaps a more theoretical bent, as a single classification scheme can be applied over a wide [[semantic spectrum]] while taxonomies tend to be devoted to a single topic.

In the abstract, the resulting structures are a crucial aspect of [[metadata]], often represented as a hierarchical structure and accompanied by descriptive information of the classes or groups. Such a classification scheme is intended to be used for the [[classification]] of individual objects into the classes or groups, and the classes or groups are based on characteristics which the objects (members) have in common.

The [[ISO/IEC 11179]] metadata registry standard uses classification schemes as a way to classify administered items, such as [[data element]]s, in a [[metadata registry]].

Some quality criteria for classification schemes are:

* Whether different kinds are grouped together. In other words, whether it is a grouping system or a pure classification system. In case of grouping, a subset (subgroup) does not have (inherit) all the characteristics of the superset, which makes that the knowledge and requirements about the superset are not applicable for the members of the subset.

* Whether the classes have overlaps.

* Whether subordinates (may) have multiple superordinates. Some classification schemes allow that a kind of thing has more than one superordinate others don'tdo not. Multiple supertypes for one subtype implies that the subordinate has the combined characteristics of all its superordinates. This is called multiple inheritance (of characteristics from multiple superordinates to their subordinates).

* Whether the criteria for belonging to a class or group are well defined.

* Whether the kinds of relations between the concepts are made explicit and well defined.

* Whether subtype-supertype relations are distinguished from composition relations (part-whole relations) and from object-role relations.

==In linguistics==

==Benefits of using classification schemes==

In [[linguistics]], [[subordinate]] concepts are described as [[hyponym]]s of their respective superordinates; typically, a hyponym is 'a kind of' its superordinate.<ref>Keith Allan (2002, p. 260), Natural Language Semantics, Blackwell Publishers Ltd, Oxford, {{ISBN|0-631-19296-4}}.</ref>

==Benefits of using classification schemes==

Using one or more classification schemes for the classification of a collection of objects has many benefits. Some of these include:

* It allows a user to find an individual object quickly on the basis of its kind or group.

* It makes it easier to detect duplicate objects.

* It conveys [[semantics]] (meaning) of an object from the definition of its kind, which meaning is not conveyed by the name of the individual object or its way of spelling.

* Knowledge and requirements about a kind of thing can be applied to theother membersobjects of thethat kind.

=kinds

of classification schemes==

==Kinds of classification schemes==

The following are examples of different kinds of classification schemes. This list is in approximate order from informal to more formal:

* [[thesaurus]] – a collection of categorized concepts, denoted by words or phrases, that are related to each other by narrower term, wider term and related term relations.

* [[thesaurusTaxonomy (general)|taxonomy]] -– a collectionformal oflist categorizedof concepts, denoted by controlled words or phrases, thatarranged arefrom relatedabstract to eachspecific, otherrelated by narrowersubtype-supertype term,relations wideror termby and related termsuperset-subset relations.

* [[taxonomydata model]] -– aan formal listarrangement of concepts (entity types), denoted by controlled words or phrases, arrangedthat fromhave abstractvarious tokinds specificof relationships. Typically, relatedbut bynot subtype-supertypenecessarily, relationsrepresenting orrequirements byand capabilities for a specific scope superset-subset(application relationsarea).

* [[network (mathematics)]] – an arrangement of objects in a random graph.

* [[data model]] - an arrangement of concepts (entity types), denoted by words or phrases, that have various kinds of relationships. Typically, but not necessarily, representing requirements and capabilities for a specific scope (application area).

* [[networkOntology (mathematicscomputer science)|ontology]] -– an arrangement of objectsconcepts that are related by various well defined kinds of relations. The arrangement can be visualized in a random[[directed acyclic graph]].

* [[Ontology (computer science)|ontology]] - an arrangement of concepts that are related by various well defined kinds of relations. The arrangement can be visualized in a directed acyclic graph.

One example of a classification scheme for [[data element]]s is a [[representation term]].

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==See also==

* [[ISO/IEC 11179]]

* [[fr:Schéma deFaceted classification]]

* [[Metadata]]

* [[Ontology (computer science)]]

* [[Simple Knowledge Organisation System]]

* [[Representation class]]

* [[Representation term]]

* [[Simple Knowledge Organisation System]]

* [[Semantic spectrum]]

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==External links==

* [https://stats.oecd.org/glossary/detail.asp?ID=358 OECD Glossary of Statistical Terms – Classification Schemes]

* [http://standards.iso.org/ittf/PubliclyAvailableStandards/c035345_ISO_IEC_11179-2_2005(E).zip ISO/IEC 11179-2:2005 Metadata registries (MDR) -– Part 2: Classification]

* [http://metadata-standards.org/metadata-stds/Document-library/Meeting-reports/SC32WG2/2002-05-Seoul/WG2-SEL-018%20ISO-IEC-11179-2%20presentation-to-open-forum.ppt Nancy Lawler's presentation on Classification Schemes] {{Webarchive|url=https://web.archive.org/web/20070928151647/http://metadata-standards.org/metadata-stds/Document-library/Meeting-reports/SC32WG2/2002-05-Seoul/WG2-SEL-018%20ISO-IEC-11179-2%20presentation-to-open-forum.ppt |date=2007-09-28 }}

[[Category:Metadata]]

[[Category:Metadata registry]]

[[Category:ISO/IEC 11179]]

[[Category:Classification systems]]

{{compsci-stub}}

[[fr:Schéma de classification]]

[[it:Schema di classificazione]]