Simple Knowledge Organization System
E217298
The Simple Knowledge Organization System (SKOS) is a W3C standard model for representing and sharing knowledge organization systems such as thesauri, classification schemes, and taxonomies on the Semantic Web.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Simple Knowledge Organization System canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1919744 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simple Knowledge Organization System Context triple: [SKOS, fullName, Simple Knowledge Organization System]
-
A.
Knowledge and Human Interests
Knowledge and Human Interests is a seminal 1968 work of critical social theory by Jürgen Habermas that analyzes how different human interests shape the forms and purposes of knowledge.
-
B.
Usable Knowledge
Usable Knowledge is an online resource from the Harvard Graduate School of Education that translates education research into practical insights and tools for educators, policymakers, and the public.
-
C.
Kurzweil Applied Intelligence
Kurzweil Applied Intelligence is a technology company known for pioneering speech recognition and artificial intelligence software applications.
-
D.
Wholly New Forms of Encyclopedias
"Wholly New Forms of Encyclopedias" is a section of Vannevar Bush’s essay "As We May Think" that envisions future, highly interconnected and dynamically organized knowledge systems beyond traditional printed encyclopedias.
-
E.
Open Knowledge Network
Open Knowledge Network is a collaborative initiative and platform that connects people, data, and tools to promote the creation, sharing, and use of open knowledge worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simple Knowledge Organization System Target entity description: The Simple Knowledge Organization System (SKOS) is a W3C standard model for representing and sharing knowledge organization systems such as thesauri, classification schemes, and taxonomies on the Semantic Web.
-
A.
Knowledge and Human Interests
Knowledge and Human Interests is a seminal 1968 work of critical social theory by Jürgen Habermas that analyzes how different human interests shape the forms and purposes of knowledge.
-
B.
Usable Knowledge
Usable Knowledge is an online resource from the Harvard Graduate School of Education that translates education research into practical insights and tools for educators, policymakers, and the public.
-
C.
Kurzweil Applied Intelligence
Kurzweil Applied Intelligence is a technology company known for pioneering speech recognition and artificial intelligence software applications.
-
D.
Wholly New Forms of Encyclopedias
"Wholly New Forms of Encyclopedias" is a section of Vannevar Bush’s essay "As We May Think" that envisions future, highly interconnected and dynamically organized knowledge systems beyond traditional printed encyclopedias.
-
E.
Open Knowledge Network
Open Knowledge Network is a collaborative initiative and platform that connects people, data, and tools to promote the creation, sharing, and use of open knowledge worldwide.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
RDF vocabulary
ⓘ
Semantic Web technology ⓘ W3C standard ⓘ knowledge organization model ⓘ |
| abbreviation | SKOS ⓘ |
| basedOn |
RDF
ⓘ
RDF ⓘ
surface form:
Resource Description Framework
|
| compatibleWith | Linked Data principles ⓘ |
| coreClass |
skos:Concept
ⓘ
skos:ConceptScheme ⓘ |
| coreProperty |
skos:altLabel
ⓘ
skos:broader ⓘ skos:definition ⓘ skos:example ⓘ skos:hasTopConcept ⓘ skos:hiddenLabel ⓘ skos:inScheme ⓘ skos:narrower ⓘ skos:notation ⓘ skos:note ⓘ skos:prefLabel ⓘ skos:related ⓘ skos:scopeNote ⓘ skos:topConceptOf ⓘ |
| domain |
Semantic Web
ⓘ
knowledge organization ⓘ |
| fullName | Simple Knowledge Organization System self-link ⓘ |
| hasNamespaceURI | http://www.w3.org/2004/02/skos/core# ⓘ |
| primaryGoal |
to enable easy publication of controlled vocabularies on the Web
ⓘ
to support interoperability between knowledge organization systems ⓘ |
| relatedStandard |
OWL
ⓘ
RDFS ⓘ
surface form:
RDF Schema
|
| serializationFormat |
JSON-LD
ⓘ
N-Triples ⓘ RDF/XML ⓘ Turtle ⓘ |
| standardizedBy |
World Wide Web Consortium
ⓘ
surface form:
W3C
World Wide Web Consortium ⓘ |
| status | W3C Recommendation ⓘ |
| supports |
concept schemes
ⓘ
concepts ⓘ labels ⓘ semantic relationships between concepts ⓘ |
| usedFor |
authority files representation
ⓘ
classification schemes representation ⓘ representing knowledge organization systems ⓘ sharing knowledge organization systems ⓘ subject heading systems representation ⓘ taxonomies representation ⓘ thesauri representation ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Simple Knowledge Organization System Description of subject: The Simple Knowledge Organization System (SKOS) is a W3C standard model for representing and sharing knowledge organization systems such as thesauri, classification schemes, and taxonomies on the Semantic Web.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.