S-100 metadata framework
E406459
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
All labels observed (1)
| Label | Occurrences |
|---|---|
| S-100 metadata framework canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4000251 — 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: S-100 metadata framework Context triple: [S-101, uses, S-100 metadata framework]
-
A.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
B.
Dublin Core
Dublin Core is a widely used standard for describing digital resources through a simple, generic set of metadata elements to support discovery and interoperability across systems.
-
C.
PREMIS
PREMIS is an international standard for describing preservation metadata needed to support the long-term management and usability of digital objects.
-
D.
Maschinelles Austauschformat für Bibliotheken
Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
-
E.
Functional Requirements for Bibliographic Records
Functional Requirements for Bibliographic Records (FRBR) is a conceptual model developed by the International Federation of Library Associations to define user-focused tasks and relationships for bibliographic records in library catalogs.
- 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: S-100 metadata framework Target entity description: The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
A.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
B.
Dublin Core
Dublin Core is a widely used standard for describing digital resources through a simple, generic set of metadata elements to support discovery and interoperability across systems.
-
C.
PREMIS
PREMIS is an international standard for describing preservation metadata needed to support the long-term management and usability of digital objects.
-
D.
Maschinelles Austauschformat für Bibliotheken
Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
-
E.
Functional Requirements for Bibliographic Records
Functional Requirements for Bibliographic Records (FRBR) is a conceptual model developed by the International Federation of Library Associations to define user-focused tasks and relationships for bibliographic records in library catalogs.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
geospatial metadata framework
ⓘ
hydrographic metadata framework ⓘ metadata standard ⓘ |
| appliesTo |
geospatial data
ⓘ
hydrographic data ⓘ |
| basedOn |
IHO S-100 standard
ⓘ
linked to:
IHO S-100
|
| characteristic |
extensible
ⓘ
flexible ⓘ interoperable ⓘ |
| conformsTo |
IHO S-100 data model principles
ⓘ
linked to:
IHO S-100
|
| context |
IHO S-100 framework for next-generation ENC and related products
ⓘ
linked to:
IHO S-100
|
| defines |
metadata elements for S-100 datasets
ⓘ
structures for dataset-level metadata ⓘ structures for feature-level metadata ⓘ structures for portrayal and product metadata ⓘ |
| developer | International Hydrographic Organization ⓘ |
| domain |
hydrography
ⓘ
marine geospatial information ⓘ |
| enables |
consistent description of S-100 datasets
ⓘ
harmonization of metadata across S-100 product specifications ⓘ |
| goal |
to enable interoperability between S-100 based products
ⓘ
to provide flexible metadata structures ⓘ |
| hasComponent |
dataset metadata
ⓘ
feature and attribute metadata ⓘ series metadata ⓘ service metadata ⓘ |
| partOf |
IHO S-100 universal hydrographic data model
ⓘ
linked to:
IHO S-100 Universal Hydrographic Data Model
|
| purpose |
to describe geospatial and hydrographic datasets
ⓘ
to support management of hydrographic and related geospatial information ⓘ |
| relatedTo |
electronic navigational charts
ⓘ
marine navigation ⓘ marine spatial data infrastructures ⓘ |
| supports |
S-100 product specifications
ⓘ
cataloguing of S-100 datasets ⓘ discovery of S-100 datasets ⓘ interoperable exchange of hydrographic data ⓘ management of S-100 datasets ⓘ |
| supportsLifecycleStage |
data access
ⓘ
data discovery ⓘ data exchange ⓘ data maintenance ⓘ |
| supportsStandardizationOf | metadata for S-100 based products ⓘ |
| usedBy |
hydrographic offices
ⓘ
marine chart producers ⓘ marine geospatial data providers ⓘ |
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: S-100 metadata framework Description of subject: The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.