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==Link to related technologies== | |||
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** > 1000 [[mediawikiwiki:Category:All_extensions|extensions]]: UI, data handling, custom content, etc. | ** > 1000 [[mediawikiwiki:Category:All_extensions|extensions]]: UI, data handling, custom content, etc. | ||
* ... but it's just a container, the core JSON-based concept is highly portable | * ... but it's just a container, the core JSON-based concept is highly portable | ||
==Link to Ontologies== | ==Link to Ontologies== |
Revision as of 10:56, 1 September 2023
OSW Introduction [OSWdb485a954a88465287b341d2897a84d6] | |
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ID | OSWdb485a954a88465287b341d2897a84d6 |
UUID | db485a95-4a88-4652-87b3-41d2897a84d6 |
Label | OSW Introduction |
Machine compatible name | OswIntroduction |
Statements (outgoing) | |
Statements (incoming) | |
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Keywords |
Description
Introduction into the open-source software stack OpenSemanticLab: https://github.com/OpenSemanticLab/mediawiki-extensions-OpenSemanticLab
Item | |
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Type(s)/Category(s) | Tutorial |
CreativeWork |
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Article |
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Tutorial | |
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Prerequisites (required) | |
Prerequisites (optional) | |
Follow-up (recommended) | Transcend wikitext to store and edit structured & linked data OSW Python Package OSW Ontology Import Item:OSW92619b0700984fe7913e5fbbd7f194dc |
doi: https://doi.org/10.5281/zenodo.8086418
Background
KIproBatt Project Usecase
Motivation
[Edit]
OpenSemanticWorld Concept
[Edit]
[Edit]
Technology Stack
[Edit]
Why (Semantic) MediaWiki?
- already powers large public knowledge bases (Wikipedia, Wikidata)
- Provides fundmental features
- User management, OAuth / OIDC
- Multi-Language / i18n support
- API and botframeworks to automate everything
- Multi-Content-Slots and Revisions / Versioning
- Core database (SQL), multiple Triplestores (SPARQL), ElasticSearch
- One of the most powerful (yet complex) template language
- with visual editing
- other options like mustache and markdown
- > 1000 extensions: UI, data handling, custom content, etc.
- ... but it's just a container, the core JSON-based concept is highly portable
Link to Ontologies
- Ontology classes are just specific schemas / schemas represent "icons" of "real objects"
- Automatic import via python (see: Python Examples)
- Combination with data schemas, e. g. to populate autocomplete fields
- Not just a static documentation: Planned community interaction features
- Comments => Github Issues,
- Edits => Re-export => Github Pull request
Usecases and Applications
jsondata
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uuid | "db485a95-4a88-4652-87b3-41d2897a84d6" | |||||
name | "OswIntroduction" | |||||
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