Darwin Information Typing Architecture
E590630
Darwin Information Typing Architecture (DITA) is an XML-based, topic-oriented architecture and standard for authoring, organizing, and publishing technical content in a modular and reusable way.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Darwin Information Typing Architecture canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T6408762 — 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: Darwin Information Typing Architecture Context triple: [OASIS, standardDeveloped, Darwin Information Typing Architecture]
-
A.
Global Open Knowledgebase (GOKb) collaboration
The Global Open Knowledgebase (GOKb) collaboration is an international, community-driven initiative that provides open, curated metadata about electronic resources to support library and scholarly communication workflows.
-
B.
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.
-
C.
Digital Object Identifier system
The Digital Object Identifier system is a standardized framework for assigning persistent, unique alphanumeric identifiers to digital content such as scholarly articles, enabling reliable citation, discovery, and long-term access.
-
D.
Dimensions (research database)
Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
-
E.
Joint Steering Committee for Development of RDA
The Joint Steering Committee for Development of RDA is the international body responsible for creating and maintaining the Resource Description and Access (RDA) cataloging standard used by libraries and related institutions.
- 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: Darwin Information Typing Architecture Target entity description: Darwin Information Typing Architecture (DITA) is an XML-based, topic-oriented architecture and standard for authoring, organizing, and publishing technical content in a modular and reusable way.
-
A.
Global Open Knowledgebase (GOKb) collaboration
The Global Open Knowledgebase (GOKb) collaboration is an international, community-driven initiative that provides open, curated metadata about electronic resources to support library and scholarly communication workflows.
-
B.
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.
-
C.
Digital Object Identifier system
The Digital Object Identifier system is a standardized framework for assigning persistent, unique alphanumeric identifiers to digital content such as scholarly articles, enabling reliable citation, discovery, and long-term access.
-
D.
Dimensions (research database)
Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
-
E.
Joint Steering Committee for Development of RDA
The Joint Steering Committee for Development of RDA is the international body responsible for creating and maintaining the Resource Description and Access (RDA) cataloging standard used by libraries and related institutions.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
XML-based standard
ⓘ
technical communication standard ⓘ topic-oriented architecture ⓘ |
| abbreviation | DITA ⓘ |
| basedOn | XML ⓘ |
| definesTopicType |
concept topic
ⓘ
generic topic ⓘ reference topic ⓘ task topic ⓘ |
| governingBody | OASIS ⓘ |
| hasComponent |
DITA map
ⓘ
linked to:
DITA
DITA specialization ⓘ
linked to:
DITA
DITA topic ⓘ |
| hasDesignGoal |
extensibility
ⓘ
interoperability ⓘ modularity ⓘ reusability ⓘ separation of content and formatting ⓘ |
| hasFeature |
content referencing (conref)
ⓘ
domain specialization ⓘ key-based addressing ⓘ metadata-driven publishing ⓘ profiling and filtering ⓘ structural specialization ⓘ |
| hasKeyConcept |
keys and keyrefs
ⓘ
map ⓘ metadata ⓘ reuse via conref ⓘ specialization ⓘ topic ⓘ |
| hasPrimaryFocus | technical content ⓘ |
| standardizedBy |
OASIS Darwin Information Typing Architecture Technical Committee
ⓘ
linked to:
OASIS DITA Technical Committee
|
| supports |
conditional content
ⓘ
content localization ⓘ content reuse ⓘ content specialization ⓘ modular content ⓘ multi-channel publishing ⓘ single-sourcing ⓘ structured authoring ⓘ topic-based authoring ⓘ |
| supportsOutput |
DITA-OT transformations
ⓘ
HTML ⓘ Help formats ⓘ PDF ⓘ |
| usedFor |
knowledge base content
ⓘ
product documentation ⓘ software documentation ⓘ technical documentation ⓘ training content ⓘ user assistance ⓘ |
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: Darwin Information Typing Architecture Description of subject: Darwin Information Typing Architecture (DITA) is an XML-based, topic-oriented architecture and standard for authoring, organizing, and publishing technical content in a modular and reusable way.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.