Submissions:ConceptTerms

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{{Graphical representation
|ImageName=ConceptTermsPattern.jpg
|ImageName=ConceptTermsPattern.jpg
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{{Content OP Proposal Template
{{Content OP Proposal Template
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|SubmittedBy=Pierre-YvesVandenbussche
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|SubmittedBy=Pierre-YvesVandenbussche, JeanCharlet
|Name=ConceptTerms
|Name=ConceptTerms
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|Intent=This CP allows designers to represent language complexity for concept description (preferred term, synonyms...). For instance, synonyms (simple non preferred terms) give various possibilities to access a resource; translation relation between terms enables multilingual vocabularies searches and therefore broaden results.
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|Intent=This CP allows designers to represent jointly conceptual and linguistic part of a vocabulary.
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The pattern purpose is not to encompass all linguistic complexity as Linginfo or LMF does, but to describe linguistic information in more details than SKOS which names concept whith simple labels.
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|Domain=Linguistic, Vocabulary,
|CompetencyQuestion=How to distinguish a preferred term or label from synonyms in order to name a concept?, How to enable cross language searching?, How to allow adding properties on term?
|CompetencyQuestion=How to distinguish a preferred term or label from synonyms in order to name a concept?, How to enable cross language searching?, How to allow adding properties on term?
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|ContentODPDescription=A concept is named in a particular language by a preferred term and a set of simple non preferred terms. Those terms artifacts specialize the term entity which owns common properties for terms such as: language, source information (when creating vocabulary from corpora). This list of properties may be extended depending on vocabulary specific needs.
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|ContentODPDescription=A concept is named in a particular language by a preferred term and a set of simple non preferred terms. Those terms artifacts specialize the term entity which owns common properties. This list of properties may be extended depending on vocabulary specific needs.
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This pattern suits for various vocabularies (thesaurus, terminology, taxonomy…) and has been applied to GEMET, Eurovoc, CIM10 among other.
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Modeling takes into account:
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-the possibility to extend the current pattern in order to add some more precise linguistic information (for instance represent translation relation between two terms since term is a class)
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-minimal linguistic artifacts necessary for vocabulary resource access by providing a preferred Term to name a concept and some synonyms which are Simple non preferred terms.
|ReusableOWLBuildingBlock=http://sites.google.com/site/pierreyvesvandenbussche/resources/ConceptTerms.owl
|ReusableOWLBuildingBlock=http://sites.google.com/site/pierreyvesvandenbussche/resources/ConceptTerms.owl
|Consequences=Compare to labels on a concept class, this solution has a higher data load.
|Consequences=Compare to labels on a concept class, this solution has a higher data load.
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|Scenario=Used for terminology representation. For example, a preferred term "car" in english could be translated in "voiture" in french and linked to the same concept. Here translation relation is possible thanks to the term entity.
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|Scenario=Used for vocabulary representation. For example in Eurovoc(http://europa.eu/eurovoc/), a concept has a preferred term "social sciences" in english and a simple non preferred term (i.e. synonyms) "humanities" in the same language whereas the same concept has a preferred term "sciences sociales" in french and a simple non preferred term "sciences humaines" in this language. If we wanted to add a translation relation between terms we could state that "social sciences" english term is a translation of "sciences sociales" french term. If we consider a second preferred term in english "award" which names a concept, in a particular information retrieval context, we could define a coumpound non preferred term "social sciences awards" which is related to preferred terms "social sciences" and "award".
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|ReengineeredFrom=BS8723-5 model: http://schemas.bs8723.org/
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|CPInstantiationExample=http://sites.google.com/site/pierreyvesvandenbussche/resources/ConceptTermsEurovocExample.owl
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|ReengineeredFrom=BS8723-5 model: http://schemas.bs8723.org/Examples.aspx In BS8723 model, triangular-shaped relations are defined between a thesaurus concept, a preferred term and some simple non preferred terms. We are convinced that maintaining this model can be optimized by reifying those relations in a single relation class. That is why we defines the Concept-Terms relation which reusing N-ary pattern in order to represent terms on a concept. Between all terms, we distinguish a preferred term and some synonyms (simple non preferred terms).
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{{Takes in account review
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|TakesInAccountReview=WimPeters about ConceptTerms
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{{Takes in account review
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|TakesInAccountReview=VojtechSvatek about ConceptTerms
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{{Takes in account review
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|TakesInAccountReview=MariCarmenSuarezFigueroa about ConceptTerms
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{{Scenarios about me}}
{{Scenarios about me}}
{{Reviews about me}}
{{Reviews about me}}
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{{Modeling issues about me}}
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{{My references}}
{{Submission to event
{{Submission to event
|Event=WOP2009
|Event=WOP2009
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Current revision


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Current revision ID: 9079

Graphical representation

Diagram

Image:ConceptTermsPattern.jpg

General description

Name: ConceptTerms
Submitted by: Pierre-YvesVandenbussche, JeanCharlet
Also Known As:
Intent: This CP allows designers to represent jointly conceptual and linguistic part of a vocabulary.

The pattern purpose is not to encompass all linguistic complexity as Linginfo or LMF does, but to describe linguistic information in more details than SKOS which names concept whith simple labels.

Domains:

Linguistic, Vocabulary

Competency Questions:
  • How to distinguish a preferred term or label from synonyms in order to name a concept?
  • How to enable cross language searching?
  • How to allow adding properties on term?
Solution description: A concept is named in a particular language by a preferred term and a set of simple non preferred terms. Those terms artifacts specialize the term entity which owns common properties. This list of properties may be extended depending on vocabulary specific needs.

This pattern suits for various vocabularies (thesaurus, terminology, taxonomy…) and has been applied to GEMET, Eurovoc, CIM10 among other. Modeling takes into account: -the possibility to extend the current pattern in order to add some more precise linguistic information (for instance represent translation relation between two terms since term is a class) -minimal linguistic artifacts necessary for vocabulary resource access by providing a preferred Term to name a concept and some synonyms which are Simple non preferred terms.

Reusable OWL Building Block: http://sites.google.com/site/pierreyvesvandenbussche/resources/ConceptTerms.owl (1311)
Consequences: Compare to labels on a concept class, this solution has a higher data load.
Scenarios: Used for vocabulary representation. For example in Eurovoc(http://europa.eu/eurovoc/), a concept has a preferred term "social sciences" in english and a simple non preferred term (i.e. synonyms) "humanities" in the same language whereas the same concept has a preferred term "sciences sociales" in french and a simple non preferred term "sciences humaines" in this language. If we wanted to add a translation relation between terms we could state that "social sciences" english term is a translation of "sciences sociales" french term. If we consider a second preferred term in english "award" which names a concept, in a particular information retrieval context, we could define a coumpound non preferred term "social sciences awards" which is related to preferred terms "social sciences" and "award".
Known Uses:
Web References:
Other References:
Examples (OWL files):
Extracted From:
Reengineered From:
  • BS8723-5 model: http://schemas.bs8723.org/Examples.aspx In BS8723 model
  • triangular-shaped relations are defined between a thesaurus concept
  • a preferred term and some simple non preferred terms. We are convinced that maintaining this model can be optimized by reifying those relations in a single relation class. That is why we defines the Concept-Terms relation which reusing N-ary pattern in order to represent terms on a concept. Between all terms
  • we distinguish a preferred term and some synonyms (simple non preferred terms).
Has Components:
Specialization Of:
Related CPs:


Elements

The ConceptTerms Content OP locally defines the following ontology elements:



Additional information

Scenarios

Scenarios about ConceptTerms

This ontology describes example coming from Eurovoc(http://europa.eu/eurovoc/) where a concept has a preferred term "social sciences" in english and a simple non preferred term (i.e. synonyms) "humanities" in the same language whereas the same concept has a preferred term "sciences sociales" in french and a simple non preferred term "sciences humaines" in this language. We consider a second preferred term in english "award" which names a concept. In this particular information retrieval context, we define a coumpound non preferred term "social sciences awards" which is related to preferred terms "social sciences" and "award". >>>

Reviews

Reviews about ConceptTerms
Review article Posted on About revision (current is 9079)
WimPeters about ConceptTerms 24550838 September 2009 56265,626
MariCarmenSuarezFigueroa about ConceptTerms 24550838 September 2009 57145,714
VojtechSvatek about ConceptTerms 24550838 September 2009 57145,714

This revision (revision ID 9079) takes in account the reviews: WimPeters about ConceptTerms, VojtechSvatek about ConceptTerms, MariCarmenSuarezFigueroa about ConceptTerms

Other info at evaluation tab


Modeling issues

Modeling issues about ConceptTerms

There is no Modeling issue related to this proposal.


References

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Submission to event

WOP2009

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