OAI-PMH
E173573
OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is a low-barrier protocol used to collect and share metadata from repositories to enable interoperable discovery of scholarly and other digital resources.
All labels observed (4)
| Label | Occurrences |
|---|---|
| OAI-PMH canonical | 6 |
| OAI-PMH 2.0 | 1 |
| OAI-PMH repository of Mathematics of Computation | 1 |
| Open Archives Initiative Protocol for Metadata Harvesting | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1530488 — 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: OAI-PMH Context triple: [Directory of Open Access Journals, supportsStandard, OAI-PMH]
-
A.
Library of Congress Linked Data Service
The Library of Congress Linked Data Service is an online platform that publishes the Library of Congress’s controlled vocabularies and authority data in machine-readable linked data formats for use in cataloging and semantic web applications.
-
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.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
-
D.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
E.
MARC standards
MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
- 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: OAI-PMH Target entity description: OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is a low-barrier protocol used to collect and share metadata from repositories to enable interoperable discovery of scholarly and other digital resources.
-
A.
Library of Congress Linked Data Service
The Library of Congress Linked Data Service is an online platform that publishes the Library of Congress’s controlled vocabularies and authority data in machine-readable linked data formats for use in cataloging and semantic web applications.
-
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.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
-
D.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
E.
MARC standards
MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
interoperability protocol
ⓘ
metadata harvesting protocol ⓘ |
| abbreviation | OAI-PMH ⓘ |
| appliesTo |
digital libraries
ⓘ
digital repositories ⓘ institutional repositories ⓘ scholarly communication systems ⓘ |
| currentStableVersion | 2.0 ⓘ |
| developedBy | Open Archives Initiative ⓘ |
| domain |
digital libraries
ⓘ
open access repositories ⓘ scholarly publishing ⓘ |
| enables |
centralized search over distributed repositories
ⓘ
metadata-based discovery of resources ⓘ |
| fullName |
Open Archives Initiative Protocol for Metadata Harvesting
ⓘ
linked to:
OAI-PMH
|
| hasCharacteristic |
based on HTTP
ⓘ
low-barrier protocol ⓘ request-response protocol ⓘ uses XML ⓘ |
| hasOperation |
GetRecord
ⓘ
Identify ⓘ ListIdentifiers ⓘ ListMetadataFormats ⓘ ListRecords ⓘ ListSets ⓘ |
| hasPurpose |
interoperable discovery of digital resources
ⓘ
metadata harvesting ⓘ sharing metadata between repositories and service providers ⓘ |
| hasRole |
enables metadata aggregation
ⓘ
separates data providers from service providers ⓘ |
| hasVersion |
1.0
ⓘ
1.1 ⓘ 2.0 ⓘ |
| isUsedBy |
academic search services
ⓘ
digital library platforms ⓘ institutional repositories software ⓘ |
| relatedStandard |
Dublin Core Metadata Element Set
ⓘ
linked to:
Dublin Core
|
| releaseContext | open access movement ⓘ |
| releasedBy | Open Archives Initiative ⓘ |
| supportsConcept |
harvesting
ⓘ
incremental harvesting ⓘ selective harvesting ⓘ sets for grouping records ⓘ |
| supportsMetadataFormat |
community-specific XML metadata formats
ⓘ
oai_dc ⓘ |
| supportsModel |
data provider
ⓘ
service provider ⓘ |
| usesDataFormat | XML ⓘ |
| usesMetadataFormat | Dublin Core ⓘ |
| usesTransportProtocol | HTTP ⓘ |
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: OAI-PMH Description of subject: OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is a low-barrier protocol used to collect and share metadata from repositories to enable interoperable discovery of scholarly and other digital resources.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: OAI-PMH
linked to: OAI-PMH